Triple
T32190993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Femina Miss India |
E822248
|
entity |
| Predicate | formerRepresentativeFor |
P144035
|
FINISHED |
| Object | Miss Universe |
—
|
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 Universe | Statement: [Femina Miss India, formerRepresentativeFor, Miss Universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerRepresentativeFor Context triple: [Femina Miss India, formerRepresentativeFor, Miss Universe]
-
A.
wasARepresentativeFor
chosen
Indicates that one entity served as an official representative or delegate acting on behalf of another entity.
-
B.
federalRepresentative
Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
-
C.
lastCongressRepresented
Indicates the final session or term of a legislative congress in which an entity (typically a representative or senator) officially served as a member.
-
D.
NLRepresentative
Indicates a relationship where one entity serves as an official representative or delegate for another within the Netherlands.
-
E.
representativeOfState
Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 1, 2026, 12:35 a.m.