Triple

T16893629
Position Surface form Disambiguated ID Type / Status
Subject Israeli legislative election, 1961 E424238 entity
Predicate seatCountOfNationalReligiousParty P31127 FINISHED
Object 12 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: 12 | Statement: [Israeli legislative election, 1961, seatCountOfNationalReligiousParty, 12]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatCountOfNationalReligiousParty
Context triple: [Israeli legislative election, 1961, seatCountOfNationalReligiousParty, 12]
  • A. largestPartySeatCount
    Indicates the number of seats held by the single largest party in a legislative or representative body.
  • B. parliamentarySeatsTotal
    Indicates the total number of seats in a given parliament or parliamentary body.
  • C. religiousParty
    Indicates that an entity is a political party whose identity, platform, or activities are primarily based on or strongly influenced by a particular religion or religious principles.
  • D. numberOfSeatsWon chosen
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • E. thirdLargestPartySeats
    Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc6b97c8190b18aca477d6ef647 completed April 18, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69e32b90ec3c819099c51bb7baf2984c completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:29 a.m.