Triple
T25980037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republican presidential nomination 1948 |
E646041
|
entity |
| Predicate | nominatedCandidateState |
P163040
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [Republican presidential nomination 1948, nominatedCandidateState, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominatedCandidateState Context triple: [Republican presidential nomination 1948, nominatedCandidateState, New York]
-
A.
representedState
Indicates that one entity serves as a representation or depiction of the state or condition of another entity.
-
B.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
-
C.
candidatePreviousNomination
Indicates that a candidate has been nominated for something in a prior selection, election, or award process.
-
D.
namedForStateRepresented
Indicates that an entity is named after the state that it represents.
-
E.
nominatedCandidateOfParty
Indicates that a specific candidate has been officially selected or endorsed by a particular political party as its nominee.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 22, 2026, 8:54 a.m.