Triple
T2137558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Carter |
E46689
|
entity |
| Predicate | playedForTeam |
P2168
|
FINISHED |
| Object | Racing 92 |
E194433
|
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 92 | Statement: [Dan Carter, playedForTeam, Racing 92]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Racing 92 Context triple: [Dan Carter, playedForTeam, Racing 92]
-
A.
Racing 92 rugby union
chosen
Racing 92 rugby union is a professional French rugby union club based in the Paris region that competes in the Top 14 and European competitions.
-
B.
Stade Français
Stade Français is a historic Parisian multi-sport club best known internationally for its top-tier professional rugby union team competing in France’s premier league.
-
C.
Stade Toulousain
Stade Toulousain is a French professional rugby union club based in Toulouse, renowned as one of Europe’s most successful and decorated rugby teams.
-
D.
USAP Perpignan
USAP Perpignan is a professional rugby union club based in Perpignan, France, known for its strong tradition in French and European competitions.
-
E.
ASM Clermont Auvergne
ASM Clermont Auvergne is a professional French rugby union club competing in the Top 14 and based in the city of Clermont-Ferrand.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdff9254819094d27405478e29a0 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51af1e708190b63418da77776084 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.