Triple
T33798973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Guyana pageant |
E866157
|
entity |
| Predicate | representsInInternationalPageants |
P156855
|
FINISHED |
| Object | Miss World |
—
|
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: Miss World | Statement: [Miss Guyana pageant, representsInInternationalPageants, Miss World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInInternationalPageants Context triple: [Miss Guyana pageant, representsInInternationalPageants, Miss World]
-
A.
notableInternationalPageant
chosen
Indicates that the subject is a notable or significant international beauty pageant.
-
B.
pageantWon
Indicates that an entity has achieved victory in a pageant or beauty contest.
-
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.
pageantLocation
Indicates the place where a pageant is held or takes place.
-
E.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: May 1, 2026, 1:46 a.m.