Triple
T14057499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RC Strasbourg Alsace |
E338255
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Le Racing |
E338256
|
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: Le Racing | Statement: [RC Strasbourg Alsace, nickname, Le Racing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Racing Context triple: [RC Strasbourg Alsace, nickname, Le Racing]
-
A.
Le Racing
chosen
Le Racing is the popular nickname of RC Strasbourg Alsace, a historic French football club based in Strasbourg.
-
B.
Union Corse
Union Corse is a fictional powerful Corsican crime syndicate featured in the James Bond series, notably connected to Tracy di Vicenzo and her father Marc-Ange Draco.
-
C.
Tribune Leclerc
Tribune Leclerc is a spectator stand at the Stade de l’Abbé-Deschamps football stadium in Auxerre, France.
-
D.
Champs-Lambert
Champs-Lambert is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
E.
Pigalle
Pigalle is a lively Parisian neighborhood known for its nightlife, cabarets, and proximity to Montmartre and the Moulin Rouge.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb662c37c8190a629278a97060080 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.