Triple
T3761700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulle Foot Corrèze |
E82175
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Tulle Foot Corrèze |
E82175
|
NE FINISHED |
How this triple was built (2 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: Tulle Foot Corrèze | Statement: [Tulle Foot Corrèze, fullName, Tulle Foot Corrèze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulle Foot Corrèze Context triple: [Tulle Foot Corrèze, fullName, Tulle Foot Corrèze]
-
A.
Tulle Foot Corrèze
chosen
Tulle Foot Corrèze is a French football club based in the town of Tulle in the Corrèze department.
-
B.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
C.
Plomb du Cantal
Plomb du Cantal is the highest peak in France’s Cantal Mountains, known for its volcanic origins and panoramic views over the Massif Central.
-
D.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
E.
Langogne
Langogne is a small historic town in south-central France, known for its picturesque setting in the Gévaudan region and its traditional rural character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc553a08190ba361675901496ed |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e51acd0c81909a675e525ece6d1b |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.