Triple
T25065314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women's British Open |
E627768
|
entity |
| Predicate | currentTitleSponsor |
P24881
|
FINISHED |
| Object | AIG |
—
|
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: AIG | Statement: [Women's British Open, currentTitleSponsor, AIG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTitleSponsor Context triple: [Women's British Open, currentTitleSponsor, AIG]
-
A.
hasTitleSponsor
chosen
Indicates that one entity serves as the primary (title) sponsor for another entity, typically giving its name to the sponsored event, organization, or property.
-
B.
successorTitleSponsor
Indicates that one entity becomes the next official title sponsor replacing another entity.
-
C.
sponsorshipName
Indicates the name or title associated with a sponsorship relationship between entities.
-
D.
prizeSponsor
Indicates that an entity provides financial or material support as the sponsor of a particular prize or award.
-
E.
sponsorshipRenamedFrom
Indicates that a sponsorship currently known by one name previously existed under a different, earlier name.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 18, 2026, 6:10 a.m.