Triple
T32158627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupe Valdez |
E821364
|
entity |
| Predicate | candidateInElectionForOffice |
P52669
|
FINISHED |
| Object | Governor of Texas |
—
|
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: Governor of Texas | Statement: [Lupe Valdez, candidateInElectionForOffice, Governor of Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candidateInElectionForOffice Context triple: [Lupe Valdez, candidateInElectionForOffice, Governor of Texas]
-
A.
generalElectionCandidate
chosen
Indicates that a person is a candidate running for office in a general election.
-
B.
nominatesForOffice
Indicates that one entity formally proposes or selects another entity as a candidate to hold a particular office or position.
-
C.
nominatedForOffice
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
-
D.
electionForOffice
Indicates that an election event is held to select or fill a specific office or position.
-
E.
candidateNomination
Indicates that an individual is formally put forward or proposed as a candidate for a position, role, or office.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:32 a.m.