Triple
T411260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Partition Plan for Palestine |
E9493
|
entity |
| Predicate | votesAgainst |
P5055
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [United Nations Partition Plan for Palestine, votesAgainst, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: votesAgainst Context triple: [United Nations Partition Plan for Palestine, votesAgainst, 13]
-
A.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
B.
voteAgainst
chosen
Indicates that an entity formally expresses opposition to a proposal, decision, or candidate in a voting process.
-
C.
voteCountedIn
Indicates that a particular vote has been included in the official tally for a specific election, contest, or jurisdiction.
-
D.
vote
Indicates that an entity formally expresses a choice or preference in a decision-making process, typically an election or poll.
-
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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.