Triple
T14057543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Racing |
E338256
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Racing |
E725398
|
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 | Statement: [Le Racing, hasAlternativeName, Racing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Racing Context triple: [Le Racing, hasAlternativeName, Racing]
-
A.
Racing
Racing is a professional women's soccer club based in Louisville, Kentucky, that competes in the National Women's Soccer League.
-
B.
Racing
chosen
Racing is a professional French rugby union club based in the Paris region that competes in the country’s top domestic league and European competitions.
-
C.
NASCAR Racing
NASCAR Racing is a classic racing video game that simulates stock car competition in the NASCAR series, known for its realistic driving physics and officially licensed tracks and drivers.
-
D.
Trans-Am racing
Trans-Am racing is an American road racing series for production-based muscle cars that gained prominence in the late 1960s and 1970s.
-
E.
Rally
Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
- 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.