Triple
T7171069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehigh University |
E167195
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Mountain Hawks |
E243390
|
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: Mountain Hawks | Statement: [Lehigh University, nickname, Mountain Hawks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountain Hawks Context triple: [Lehigh University, nickname, Mountain Hawks]
-
A.
Mountain Hawks
chosen
Mountain Hawks is the athletic nickname for Lehigh University's sports teams, including its wrestling program.
-
B.
Columbia Lions
The Columbia Lions are the varsity athletic teams representing Columbia University in NCAA Division I competition, primarily in the Ivy League.
-
C.
The Owls
The Owls is the traditional nickname of Sheffield Wednesday Football Club, one of England’s historic professional football teams based in Sheffield, South Yorkshire.
-
D.
Warhawks
The Warhawks are the athletic teams representing the University of Louisiana at Monroe in NCAA collegiate sports.
-
E.
Warhawks
Warhawks is the athletic nickname for the University of Wisconsin–Whitewater’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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85ec718819085af59fadee9d22d |
completed | March 27, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b910c2688190b28573c5d58542d5 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.