Triple

T7749789
Position Surface form Disambiguated ID Type / Status
Subject Israeli legislative election, 1965 E175725 entity
Predicate largestPartyVoteShare P9216 FINISHED
Object about 36.7% 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: about 36.7% | Statement: [Israeli legislative election, 1965, largestPartyVoteShare, about 36.7%]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestPartyVoteShare
Context triple: [Israeli legislative election, 1965, largestPartyVoteShare, about 36.7%]
  • A. largestParty
    Indicates that the subject is the political party with the greatest size (e.g., by membership, seats, or votes) within a specified context or group.
  • B. popularVoteShare chosen
    Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
  • C. AlliancePopularVoteShare
    Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
  • D. labourPopularVoteShare
    Indicates the proportion of all valid votes cast that were received by the Labour Party in a given election or electoral contest.
  • E. popularVoteShareThird
    Indicates the proportion of total popular votes received by the third-place candidate or option in an 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c705257ca08190a78c592a1e616da8 completed March 27, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69c7016df2b08190b2330a2010691431 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:08 p.m.