Triple
T2042096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of Texas |
E44767
|
entity |
| Predicate | ballot |
P35999
|
FINISHED |
| Object | elected independently of the 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: elected independently of the Governor of Texas | Statement: [Lieutenant Governor of Texas, ballot, elected independently of the Governor of Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ballot Context triple: [Lieutenant Governor of Texas, ballot, elected independently of the Governor of Texas]
-
A.
ballotStructure
Indicates how options, candidates, or choices are organized and presented on a ballot for selection.
-
B.
vote
Indicates that an entity formally expresses a choice or preference in a decision-making process, typically an election or poll.
-
C.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
D.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
-
E.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.