Triple
T10709438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oded Maler |
E252492
|
entity |
| Predicate | coAuthorOf |
P2389
|
FINISHED |
| Object |
From timed automata to hybrid systems
"From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
|
E880523
|
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: From timed automata to hybrid systems | Statement: [Oded Maler, coAuthorOf, From timed automata to hybrid systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: From timed automata to hybrid systems Context triple: [Oded Maler, coAuthorOf, From timed automata to hybrid systems]
-
A.
hybrid automata
Hybrid automata are mathematical models used in computer science and control theory to describe systems that exhibit both continuous dynamics and discrete transitions, such as embedded or cyber-physical systems.
-
B.
Temporal Verification of Reactive Systems
"Temporal Verification of Reactive Systems" is a foundational book in formal methods that presents rigorous techniques for specifying and verifying the correctness of reactive and concurrent systems using temporal logic.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
E.
PRISM probabilistic model checker
PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
- 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: From timed automata to hybrid systems Triple: [Oded Maler, coAuthorOf, From timed automata to hybrid systems]
Generated description
"From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: From timed automata to hybrid systems Target entity description: "From timed automata to hybrid systems" is a scholarly work that explores the extension of timed automata models to more general hybrid systems, integrating discrete and continuous dynamics in system verification and modeling.
-
A.
hybrid automata
Hybrid automata are mathematical models used in computer science and control theory to describe systems that exhibit both continuous dynamics and discrete transitions, such as embedded or cyber-physical systems.
-
B.
Temporal Verification of Reactive Systems
"Temporal Verification of Reactive Systems" is a foundational book in formal methods that presents rigorous techniques for specifying and verifying the correctness of reactive and concurrent systems using temporal logic.
-
C.
Symbolic Model Checking
Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
-
D.
Model Checking (book)
"Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
-
E.
PRISM probabilistic model checker
PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9990f220081909dae41bcec8b4768 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69da625a1e8c8190b282e7a70bb7c876 |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 8, 2026, 9:13 p.m.