Triple
T22909825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Women’s Amateur |
E568558
|
entity |
| Predicate | typeOfTitleAwarded |
P1619
|
FINISHED |
| Object | national amateur champion of the United States for women |
—
|
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: national amateur champion of the United States for women | Statement: [U.S. Women’s Amateur, typeOfTitleAwarded, national amateur champion of the United States for women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTitleAwarded Context triple: [U.S. Women’s Amateur, typeOfTitleAwarded, national amateur champion of the United States for women]
-
A.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
B.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
C.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
D.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
-
E.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807350008190a057e8fb5c363c5f |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.