Triple
T1622779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ES Troyes AC |
E35069
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ESTAC
ESTAC is a French professional football club based in Troyes that competes in the country’s league system.
|
E185122
|
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: ESTAC | Statement: [ES Troyes AC, abbreviation, ESTAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESTAC Context triple: [ES Troyes AC, abbreviation, ESTAC]
-
A.
Streitkräftebasis
Streitkräftebasis is the joint support service of the German Bundeswehr responsible for providing cross-branch logistical, organizational, and operational support to all armed forces.
-
B.
ECASA
ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
-
C.
EIC
EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
D.
USAIS
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
-
E.
STAC
STAC is a regional public health institution under SAARC dedicated to coordinating efforts to control and prevent tuberculosis and HIV/AIDS among member countries.
- 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: ESTAC Triple: [ES Troyes AC, abbreviation, ESTAC]
Generated description
ESTAC is a French professional football club based in Troyes that competes in the country’s league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESTAC Target entity description: ESTAC is a French professional football club based in Troyes that competes in the country’s league system.
-
A.
Streitkräftebasis
Streitkräftebasis is the joint support service of the German Bundeswehr responsible for providing cross-branch logistical, organizational, and operational support to all armed forces.
-
B.
ECASA
ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
-
C.
EIC
EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
D.
USAIS
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
-
E.
STAC
STAC is a regional public health institution under SAARC dedicated to coordinating efforts to control and prevent tuberculosis and HIV/AIDS among member countries.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909cf3c7481909ddbe6a6596bb0c8 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58ccc80c819088ecd91f0a99a247 |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad5a619da481908d66837ea94c91cf |
completed | March 8, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5b41a68c8190ba293d8e8c35521b |
completed | March 8, 2026, 11:19 a.m. |
Created at: March 4, 2026, 7:28 p.m.