Triple

T15375836
Position Surface form Disambiguated ID Type / Status
Subject Government of Rockland County, New York E367665 entity
Predicate legislatorsElectedFrom P21595 FINISHED
Object single-member districts 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: single-member districts | Statement: [Government of Rockland County, New York, legislatorsElectedFrom, single-member districts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislatorsElectedFrom
Context triple: [Government of Rockland County, New York, legislatorsElectedFrom, single-member districts]
  • A. electedFrom chosen
    Indicates that an individual has been chosen through an election to represent or serve a specific geographic area, constituency, or jurisdiction.
  • B. electedMembers
    Indicates that certain individuals have been chosen through an election process to serve as members of a specific body or organization.
  • C. seatOfRepresentative
    Indicates the location or institution where a representative officially holds their position or exercises their duties.
  • D. legislatureServed
    Indicates that an individual has served as a member of a specific legislative body during some period of time.
  • E. legislatureTypeServed
    Indicates the type of legislative body in which an entity has served (e.g., national, state, or local legislature).
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5ece1081908d7c1289258b9c1f completed April 16, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:18 a.m.