Triple

T6269066
Position Surface form Disambiguated ID Type / Status
Subject United States House of Representatives districts in New Jersey E140483 entity
Predicate historicallyHadDifferentNumberOfSeats P54210 FINISHED
Object true 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: true | Statement: [United States House of Representatives districts in New Jersey, historicallyHadDifferentNumberOfSeats, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyHadDifferentNumberOfSeats
Context triple: [United States House of Representatives districts in New Jersey, historicallyHadDifferentNumberOfSeats, true]
  • A. previousNumberOfSeats chosen
    Indicates the number of seats an entity had before a change or update in its seating count.
  • B. hasHistoricalSeat
    Indicates that an entity possesses or is associated with a historically significant seat, location, or place of authority.
  • C. previousNumberOfConstituents
    Indicates the number of constituents an entity had at an earlier point in time, before its current state.
  • D. seatsComparedToMembers
    Indicates the relationship between the number of seats available and the number of members, typically expressing how the seat count compares to membership size.
  • E. hasDifferentVotersThan
    Indicates that the set of voters associated with one entity is not identical to the set of voters associated with another entity.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a28da081909f4bec8f7c1dedef completed March 22, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69c05606fb50819082d1a5a91e5030b6 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:25 p.m.