Triple
T4348675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Colloquium on Automata, Languages and Programming |
E97967
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Track A: Algorithms, Complexity and Games
Track A: Algorithms, Complexity and Games is a main research track of the International Colloquium on Automata, Languages and Programming (ICALP) focusing on theoretical computer science topics such as algorithm design, computational complexity, and algorithmic game theory.
|
E433421
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Track A: Algorithms, Complexity and Games | Statement: [International Colloquium on Automata, Languages and Programming, hasTrack, Track A: Algorithms, Complexity and Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Track A: Algorithms, Complexity and Games Context triple: [International Colloquium on Automata, Languages and Programming, hasTrack, Track A: Algorithms, Complexity and Games]
-
A.
The Dots and Boxes Game: Sophisticated Child's Play
"The Dots and Boxes Game: Sophisticated Child's Play" is a mathematical analysis of the classic pencil-and-paper game Dots and Boxes, exploring its underlying combinatorial game theory and advanced strategies.
-
B.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
-
C.
Computational Complexity: A Conceptual Perspective
Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
-
D.
Randomness and Computation
"Randomness and Computation" is Shafi Goldwasser's influential doctoral thesis that helped lay the foundations of modern complexity theory and cryptography by rigorously exploring the role of randomness in efficient computation.
-
E.
Blum complexity measures
Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Track A: Algorithms, Complexity and Games Triple: [International Colloquium on Automata, Languages and Programming, hasTrack, Track A: Algorithms, Complexity and Games]
Generated description
Track A: Algorithms, Complexity and Games is a main research track of the International Colloquium on Automata, Languages and Programming (ICALP) focusing on theoretical computer science topics such as algorithm design, computational complexity, and algorithmic game theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Track A: Algorithms, Complexity and Games Target entity description: Track A: Algorithms, Complexity and Games is a main research track of the International Colloquium on Automata, Languages and Programming (ICALP) focusing on theoretical computer science topics such as algorithm design, computational complexity, and algorithmic game theory.
-
A.
The Dots and Boxes Game: Sophisticated Child's Play
"The Dots and Boxes Game: Sophisticated Child's Play" is a mathematical analysis of the classic pencil-and-paper game Dots and Boxes, exploring its underlying combinatorial game theory and advanced strategies.
-
B.
P, NP, and NP-Completeness: The Basics of Complexity Theory
"P, NP, and NP-Completeness: The Basics of Complexity Theory" is a foundational textbook by Oded Goldreich that introduces the core concepts, problems, and techniques of computational complexity theory, with a focus on the classes P, NP, and NP-complete problems.
-
C.
Computational Complexity: A Conceptual Perspective
Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
-
D.
Randomness and Computation
"Randomness and Computation" is Shafi Goldwasser's influential doctoral thesis that helped lay the foundations of modern complexity theory and cryptography by rigorously exploring the role of randomness in efficient computation.
-
E.
Blum complexity measures
Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a6e89c8190b9bf2cccb63839b3 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbad2f908190b5ee53bc7f2294c9 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dcbd1c588190b060e1b329092fa2 |
completed | March 14, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd25ea088190b55a10e11f5e7e1a |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:15 p.m.