Triple
T38535614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina vs. Michigan |
E923488
|
entity |
| Predicate | teamNicknameMichigan |
P5076
|
FINISHED |
| Object | Wolverines |
—
|
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: Wolverines | Statement: [North Carolina vs. Michigan, teamNicknameMichigan, Wolverines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNicknameMichigan Context triple: [North Carolina vs. Michigan, teamNicknameMichigan, Wolverines]
-
A.
teamNicknameMichiganState
Indicates that a given nickname is used as the team nickname for Michigan State.
-
B.
coachMichiganFullName
Indicates that the predicate relates a coach to their full legal or commonly used name within the context of Michigan coaching.
-
C.
cityOfMichiganHomeGames
Indicates the city where the University of Michigan’s home games are played.
-
D.
DetroitTigersDivision
Indicates the divisional grouping or league division in which the Detroit Tigers baseball team competes.
-
E.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
- F. None of above.
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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.