Triple
T20322245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN Security Council Resolution 2254 |
E492233
|
entity |
| Predicate | numberOfVotesAgainst |
P91235
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [UN Security Council Resolution 2254, numberOfVotesAgainst, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVotesAgainst Context triple: [UN Security Council Resolution 2254, numberOfVotesAgainst, 0]
-
A.
numberOfOpposingVotesInChamber
chosen
Indicates the count of votes cast against a proposal or measure within a specific legislative chamber.
-
B.
numberOfDelegatesOpposingRatification
Indicates the count of delegates who are against approving or ratifying a particular proposal, agreement, or decision.
-
C.
voteAgainst
Indicates that an entity formally expresses opposition to a proposal, decision, or candidate in a voting process.
-
D.
voteCount
Indicates the number of votes that have been cast for or associated with a particular item or option.
-
E.
numberOfVoters
Indicates the total count of individuals who participated in a particular vote or election.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778c4430819083b17da5067b88ef |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:20 a.m.