Triple
T23742242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KPMG Women’s PGA Championship |
E586706
|
entity |
| Predicate | isOneOfWomenMajors |
P153524
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [KPMG Women’s PGA Championship, isOneOfWomenMajors, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfWomenMajors Context triple: [KPMG Women’s PGA Championship, isOneOfWomenMajors, true]
-
A.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
B.
admittedWomen
Indicates that an entity allowed or accepted women into a place, group, institution, or event.
-
C.
majorInState
Indicates that an academic major is officially offered or recognized within a particular state or state-level educational system.
-
D.
isOneOfMajorCategories
Indicates that an entity belongs to a specified set of primary or top-level categories within a classification.
-
E.
otherMajors
Indicates that an entity has additional academic majors beyond its primary or currently referenced major.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad734b08190a4b3365df97c73e1 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.