Triple
T20389190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Pennsylvania |
E498040
|
entity |
| Predicate | selectsRepresentativeFor |
P55060
|
FINISHED |
| Object | national beauty pageant |
—
|
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 beauty pageant | Statement: [Miss Pennsylvania, selectsRepresentativeFor, national beauty pageant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectsRepresentativeFor Context triple: [Miss Pennsylvania, selectsRepresentativeFor, national beauty pageant]
-
A.
representativeDetermined
Indicates that an official representative has been identified and designated for a particular entity or context.
-
B.
choseToRepresent
Indicates that one entity voluntarily decided to act on behalf of, or serve as a representative for, another entity or cause.
-
C.
determinesRepresentativeFor
chosen
Indicates that one entity selects or designates another entity to act as its representative in a given context.
-
D.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
-
E.
electsRepresentativeEvery
Indicates that one entity periodically chooses or votes to select another entity to serve as its representative.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.