Triple
T31454488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Women's Team Championships |
E802412
|
entity |
| Predicate | originalTrophyDonor |
P202841
|
FINISHED |
| Object | Betty Uber |
—
|
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: Betty Uber | Statement: [World Women's Team Championships, originalTrophyDonor, Betty Uber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTrophyDonor Context triple: [World Women's Team Championships, originalTrophyDonor, Betty Uber]
-
A.
trophyOrigin
Indicates the source or place from which a trophy was obtained or originated.
-
B.
trophyWonBy
Indicates that a particular trophy or award is obtained or earned by a specific entity (such as a person or team).
-
C.
trophyCustodian
Indicates that one entity is responsible for holding, safeguarding, or managing a trophy on behalf of another entity or organization.
-
D.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
-
E.
originallyAwardedTo
Indicates that something (such as a prize, title, or resource) was first granted or assigned to a particular recipient before any later changes or transfers.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00c486d394819084fe93d5bb11ea1e |
completed | May 10, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_6a00c39d99d48190a94bfa057213499c |
completed | May 10, 2026, 5:42 p.m. |
| PDg | Predicate description generation | batch_6a00c48622b08190910d4dbc6db94c10 |
completed | May 10, 2026, 5:46 p.m. |
Created at: April 30, 2026, 9:15 p.m.