Triple
T28174275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 United Kingdom European Union membership referendum |
E715546
|
entity |
| Predicate | votesForRemain |
P63379
|
FINISHED |
| Object | 16141241 |
—
|
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: 16141241 | Statement: [2016 United Kingdom European Union membership referendum, votesForRemain, 16141241]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votesForRemain Context triple: [2016 United Kingdom European Union membership referendum, votesForRemain, 16141241]
-
A.
votesOnly
Indicates that an entity participates in a decision-making process solely by casting votes, without engaging in any other associated actions or roles.
-
B.
voteRecord
Indicates that an entity has cast a specific vote or holds a particular voting position in a given decision or election.
-
C.
votesForChange
Indicates that an entity expresses support for or chooses an option aimed at altering an existing state, policy, or condition.
-
D.
voteCount
chosen
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
E.
voteResult
Indicates the outcome or decision produced by a voting process involving the related entities.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 10:15 p.m.