Triple
T8260424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UND Fighting Hawks |
E193177
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Fighting Hawks |
E193177
|
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: Fighting Hawks | Statement: [UND Fighting Hawks, shortName, Fighting Hawks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fighting Hawks Context triple: [UND Fighting Hawks, shortName, Fighting Hawks]
-
A.
UND Fighting Hawks
chosen
The UND Fighting Hawks are the University of North Dakota’s athletic teams, best known nationally for their successful NCAA Division I ice hockey program.
-
B.
Mountain Hawks
Mountain Hawks is the athletic nickname for Lehigh University's sports teams, including its wrestling program.
-
C.
Cornhuskers
Cornhuskers is a Pulitzer Prize–winning poetry collection by Carl Sandburg that captures the lives, landscapes, and voices of rural America in the early 20th century.
-
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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793479d08190bd0dd8740bebff95 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd681e22188190b07ce523e2554812 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:49 p.m.