Triple
T2434341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labour Co-operative |
E52919
|
entity |
| Predicate | usedOnBallotPapers |
P30499
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Labour Co-operative, usedOnBallotPapers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnBallotPapers Context triple: [Labour Co-operative, usedOnBallotPapers, yes]
-
A.
usedInElection
Indicates that something (such as a resource, tool, or method) was employed or applied as part of conducting an election.
-
B.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
C.
ballot
Indicates that an entity participates in a formal voting process, typically by casting or submitting a vote or choice.
-
D.
voteCountedIn
Indicates that a particular vote has been included in the official tally for a specific election, contest, or jurisdiction.
-
E.
ballotStructure
chosen
Indicates how options, candidates, or choices are organized and presented on a ballot for selection.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.