Triple
T27024879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Michigan University Marching Band |
E680757
|
entity |
| Predicate | supportsAthleticTeamsOf |
P330
|
FINISHED |
| Object | Northern Michigan Wildcats |
—
|
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: Northern Michigan Wildcats | Statement: [Northern Michigan University Marching Band, supportsAthleticTeamsOf, Northern Michigan Wildcats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAthleticTeamsOf Context triple: [Northern Michigan University Marching Band, supportsAthleticTeamsOf, Northern Michigan Wildcats]
-
A.
hasAthleticTeamType
Indicates that an entity’s athletic team participates in or is classified under a specific type or category of sport or competition.
-
B.
supportsTeamInCity
Indicates that one entity provides backing or assistance to a sports team that is based in a particular city.
-
C.
hasSportsTeam
chosen
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
D.
sponsorNumberOfVarsityTeams
Indicates the number of varsity teams that an entity sponsors.
-
E.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 27, 2026, 7:10 a.m.