Triple
T17479902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Board of Education v. Pico |
E425628
|
entity |
| Predicate | votePlurality |
P63379
|
FINISHED |
| Object | 4-4-1 |
—
|
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: 4-4-1 | Statement: [Board of Education v. Pico, votePlurality, 4-4-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votePlurality Context triple: [Board of Education v. Pico, votePlurality, 4-4-1]
-
A.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
-
B.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
-
C.
votePattern
Indicates a recurring way or tendency in how an entity casts votes across issues, candidates, or time.
-
D.
voteCount
chosen
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
E.
voteSplit
Indicates that a voting outcome is divided among multiple options or parties rather than being unanimous or clearly majority.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bf1e8081909f4d4b8992412e62 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.