Triple
T4898884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA women’s golf |
E109747
|
entity |
| Predicate | competitionVenueType |
P25287
|
FINISHED |
| Object | golf courses |
—
|
LITERAL FINISHED |
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: golf courses | Statement: [NCAA women’s golf, competitionVenueType, golf courses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionVenueType Context triple: [NCAA women’s golf, competitionVenueType, golf courses]
-
A.
sportsVenueFor
Indicates that a venue is used as the location or facility where a particular sport or sporting event takes place.
-
B.
hasSportsVenueType
chosen
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
C.
Game1Venue
Indicates the venue or location where the first game (Game1) of a series or event is held.
-
D.
Game4Venue
Indicates that a particular game is scheduled to take place at a specific venue.
-
E.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:28 p.m.