Triple
T2197117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona Wildcats men's basketball |
E50400
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Wildcats |
E24258
|
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: Wildcats | Statement: [Arizona Wildcats men's basketball, nickname, Wildcats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wildcats Context triple: [Arizona Wildcats men's basketball, nickname, Wildcats]
-
A.
Wildcats
Wildcats is the nickname of Villanova University's men's basketball team, a prominent NCAA Division I program known for its multiple national championships and strong tournament performances.
-
B.
Wildcats
Wildcats is the nickname of the University of Kentucky’s storied men’s basketball program, one of the most successful and tradition-rich teams in NCAA history.
-
C.
Wildcats
Wildcats is the athletic nickname for the sports teams representing Northern Michigan University in collegiate competition.
-
D.
Wildcats
chosen
Wildcats is the nickname for the University of Arizona’s athletic teams, most prominently its NCAA Division I football program.
-
E.
Wildcat
The Wildcat is the athletic mascot representing California State University, Chico’s sports teams.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf79f3e08190b56e9d7c0ff27237 |
completed | March 7, 2026, 6:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db7af9881908348ce1ad35f247a |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.