Triple
T920854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSS |
E19878
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object |
Atom
Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
|
E107966
|
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: Atom | Statement: [RSS, competesWith, Atom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atom Context triple: [RSS, competesWith, Atom]
-
A.
Les Atomes
Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
-
B.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
C.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
D.
Ate
Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
-
E.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
- 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: Atom Triple: [RSS, competesWith, Atom]
Generated description
Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atom Target entity description: Atom is a free and open-source text and source code editor developed by GitHub, known for its hackability, rich plugin ecosystem, and cross-platform support.
-
A.
Les Atomes
Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
-
B.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
C.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
D.
Ate
Ate is a populous district in the eastern part of Lima, Peru, known for its mix of industrial zones, residential areas, and growing commercial activity.
-
E.
Nuk
Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3120dbc81908362158fe3ffa889 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6486d88190b53cd743b08eef33 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7d02d9d308190a9e950ae034b2ec5 |
completed | March 4, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d0aac93481908ffc2141d668e9d2 |
completed | March 4, 2026, 6:26 a.m. |
Created at: March 1, 2026, 7:40 p.m.