Triple
T29086438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn State Nittany Lions men's ice hockey |
E734127
|
entity |
| Predicate | clubAssociationHistory |
P125837
|
FINISHED |
| Object | ACHA |
—
|
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: ACHA | Statement: [Penn State Nittany Lions men's ice hockey, clubAssociationHistory, ACHA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubAssociationHistory Context triple: [Penn State Nittany Lions men's ice hockey, clubAssociationHistory, ACHA]
-
A.
leagueAffiliationHistory
chosen
Indicates the historical sequence of leagues or organizations with which an entity has been affiliated over time.
-
B.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
C.
associationFootballClubIn
Indicates that an association football (soccer) club is located in or based in a specified place or region.
-
D.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
E.
previousTrainingGroundOfClub
Indicates that a location served as an earlier or former training ground used by a particular club.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66147dd648190893f33542d8d0155 |
completed | May 2, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 11 a.m.