Triple
T20772317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Leopards |
E511265
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Leopards |
—
|
NE NERFINISHED |
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: Leopards | Statement: [Leigh Leopards, hasNickname, Leopards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leopards Context triple: [Leigh Leopards, hasNickname, Leopards]
-
A.
Leopards
chosen
Leopards is a South African provincial rugby union team that competes in domestic competitions such as the Currie Cup.
-
B.
Leopard
The leopard is a large, solitary wild cat native to Africa and parts of Asia, known for its spotted coat, adaptability to diverse habitats, and exceptional climbing and hunting abilities.
-
C.
Tigers
Tigers is the nickname and mascot used by numerous sports teams, most prominently Louisiana State University’s athletic programs, including the LSU Tigers women’s basketball team.
-
D.
Tigers
The Tigers are the athletic teams representing DePauw University in intercollegiate sports.
-
E.
Tigers
Tigers is the nickname of the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region and one of Nippon Professional Baseball’s most storied franchises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2681ff88190bfe5938c2db6b2c4 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:37 p.m.