Triple
T10937617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronan O'Gara |
E258376
|
entity |
| Predicate | playedForClub |
P2168
|
FINISHED |
| Object | Racing Métro 92 |
E725397
|
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: Racing Métro 92 | Statement: [Ronan O'Gara, playedForClub, Racing Métro 92]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Racing Métro 92 Context triple: [Ronan O'Gara, playedForClub, Racing Métro 92]
-
A.
Racing Métro 92
chosen
Racing Métro 92 was the former name of the professional French rugby union club now known as Racing 92, based in the Paris region and competing in the Top 14.
-
B.
Le Racing
Le Racing is the popular nickname of RC Strasbourg Alsace, a historic French football club based in Strasbourg.
-
C.
Le Mans FC
Le Mans FC is a French professional football club based in the city of Le Mans, known for competing in the French football league system and playing its home matches at the MMArena.
-
D.
TGV Paris–Nice
TGV Paris–Nice is a high-speed French train service connecting Paris with the Mediterranean city of Nice.
-
E.
Paris–Toulouse
Paris–Toulouse is a major intercity rail corridor in France linking the capital Paris with the southwestern city of Toulouse.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bfd6a108190a0557598f68659fa |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.