Triple
T25761189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California statewide offices |
E648742
|
entity |
| Predicate | areOftenContestedIn |
P28246
|
FINISHED |
| Object | California primary elections |
—
|
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: California primary elections | Statement: [California statewide offices, areOftenContestedIn, California primary elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areOftenContestedIn Context triple: [California statewide offices, areOftenContestedIn, California primary elections]
-
A.
frequentlyContestedBy
Indicates that something is often the subject of disputes, challenges, or opposition initiated by another party.
-
B.
contestedBy
Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
-
C.
alsoContestedIn
chosen
Indicates that the same issue, claim, or matter is being disputed or challenged in another context, case, or proceeding as well.
-
D.
wasContestedIn
Indicates that an event, position, or decision was the subject of competition, dispute, or challenge within a particular context or proceeding.
-
E.
contestedAt
Indicates that an event, claim, or outcome is being challenged or disputed at a particular time or place.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdeef1348190a32e4ae429680b7d |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:05 a.m.