Triple
T36994277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Supervisorial District 6 |
E915187
|
entity |
| Predicate | numberOfBoardVotes |
P205684
|
FINISHED |
| Object | 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: 1 | Statement: [San Francisco Supervisorial District 6, numberOfBoardVotes, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBoardVotes Context triple: [San Francisco Supervisorial District 6, numberOfBoardVotes, 1]
-
A.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
B.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
-
C.
numberOfSupportVotesInChamber
Indicates the count of votes cast in favor of a proposal within a specific legislative chamber.
-
D.
ballotsCountedBy
Indicates that the ballots in an election or vote are counted or tallied by a specified person, group, or entity.
-
E.
votesWith
Indicates that one entity casts a vote in alignment with, or on the same side as, another entity in a decision or election.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.