Triple
T71910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of California |
E1438
|
entity |
| Predicate | electedIn |
P1239
|
FINISHED |
| Object | statewide election in California |
—
|
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: statewide election in California | Statement: [Lieutenant Governor of California, electedIn, statewide election in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedIn Context triple: [Lieutenant Governor of California, electedIn, statewide election in California]
-
A.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
B.
electedOffice
chosen
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
-
D.
hasElectoralRepresentation
Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
-
E.
nominatedForOffice
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.