Triple
T36965677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss World USA 1972 |
E914420
|
entity |
| Predicate | representedCountryAtMissWorld |
P1315
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Miss World USA 1972, representedCountryAtMissWorld, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedCountryAtMissWorld Context triple: [Miss World USA 1972, representedCountryAtMissWorld, United States]
-
A.
notableInternationalPageant
Indicates that the subject is a notable or significant international beauty pageant.
-
B.
contestantNationality
Indicates that a contestant has a particular national affiliation or citizenship.
-
C.
representedInternationallyBy
Indicates that one entity serves as the official international representative or agent acting on behalf of another entity in foreign or global contexts.
-
D.
countryRepresented
chosen
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
E.
pageantWon
Indicates that an entity has achieved victory in a pageant or beauty contest.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: May 3, 2026, 4:14 p.m.