Triple
T23600971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooley Law School Stadium |
E582753
|
entity |
| Predicate | leagueTenantLevel |
P29691
|
FINISHED |
| Object | Minor League Baseball |
—
|
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: Minor League Baseball | Statement: [Cooley Law School Stadium, leagueTenantLevel, Minor League Baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTenantLevel Context triple: [Cooley Law School Stadium, leagueTenantLevel, Minor League Baseball]
-
A.
leagueLevelOfTenant
chosen
Indicates the competitive league tier or division in which the tenant entity participates or is classified.
-
B.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
C.
leagueAffiliationOfTenant
Indicates the sports league with which a tenant (such as a team or club) is formally affiliated.
-
D.
leagueFormerTenant
Indicates that an entity was previously a tenant or member within a particular league, but is no longer associated in that capacity.
-
E.
sportsTeamLevel
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0936f588190aead4419aedfcb0e |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.