Triple
T29014388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutes women’s basketball |
E737260
|
entity |
| Predicate | homeGamesVenueOwner |
P165906
|
FINISHED |
| Object | Pacific Lutheran University |
—
|
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: Pacific Lutheran University | Statement: [Lutes women’s basketball, homeGamesVenueOwner, Pacific Lutheran University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeGamesVenueOwner Context triple: [Lutes women’s basketball, homeGamesVenueOwner, Pacific Lutheran University]
-
A.
homeGamesVenueType
Indicates the type or category of venue where a team plays its home games.
-
B.
homeGamesVenueCity
Indicates the city where a team’s home games are played.
-
C.
homeVenueTeam1City
Indicates that a specific city serves as the home venue location for the first team in a given context or event.
-
D.
homeVenueTeam2City
Indicates that a second home venue team is based in or associated with a particular city.
-
E.
homeStadiumInvolved
Indicates that an event, action, or relationship involves a team's home stadium as a relevant location or context.
- F. None of above. chosen
Provenance (4 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fdfb82c81908eda8bded5074241 |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:44 a.m.