Triple

T38318137
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the North Carolina House of Representatives E1033882 entity
Predicate residesInGovernment P15077 FINISHED
Object North Carolina state government NE NERFINISHED

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: North Carolina state government | Statement: [Speaker of the North Carolina House of Representatives, residesInGovernment, North Carolina state government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: residesInGovernment
Context triple: [Speaker of the North Carolina House of Representatives, residesInGovernment, North Carolina state government]
  • A. locatedInGovernmentBody chosen
    Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
  • B. basedInGovernmentType
    Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
  • C. seatInGovernment
    Indicates that an entity holds an official position or membership within a governmental body or institution.
  • D. representedInGovernment
    Indicates that an entity has official representation or a seat within a governmental body or institution.
  • E. inGovernmentFrom
    Indicates that an entity holds or has held a government position or role starting from a specified point in time.
  • 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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:30 p.m.