Triple
T25474325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merion Golf Club |
E638390
|
entity |
| Predicate | hasHostedMajorChampionship |
P161461
|
FINISHED |
| Object | U.S. Women’s Amateur |
—
|
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: U.S. Women’s Amateur | Statement: [Merion Golf Club, hasHostedMajorChampionship, U.S. Women’s Amateur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedMajorChampionship Context triple: [Merion Golf Club, hasHostedMajorChampionship, U.S. Women’s Amateur]
-
A.
hasHostedMajorChampionship
chosen
Indicates that an entity has served as the venue or organizer for at least one significant, high-level championship event in its domain.
-
B.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
C.
numberOfOpenChampionshipsHosted
Indicates the count of Open Championship golf tournaments that have been hosted by a given entity.
-
D.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
E.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 2:25 p.m.