Triple

T572821
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania E13698 entity
Predicate executiveHeadOfGovernment P329 FINISHED
Object Governor of Pennsylvania 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: Governor of Pennsylvania | Statement: [Pennsylvania, executiveHeadOfGovernment, Governor of Pennsylvania]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: executiveHeadOfGovernment
Context triple: [Pennsylvania, executiveHeadOfGovernment, Governor of Pennsylvania]
  • A. headOfGovernment
    Indicates that one entity serves as the chief executive authority or leader of the government of another entity.
  • B. headOfGovernmentBody
    Indicates that one entity serves as the chief executive or leading official in charge of governing another entity, typically a political or administrative body.
  • C. hasChiefExecutiveRole
    Indicates that an entity holds the highest executive leadership position and overall managerial authority within an organization.
  • D. headOfGovernmentTitle chosen
    Indicates the official title held by the person who serves as the head of a government.
  • E. headOfStateIs
    Indicates that one entity serves as the head of state (the highest public representative) of another entity, typically a country or similar political unit.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b49bad88190bc73d31a317c0ef4 completed March 1, 2026, 8:02 p.m.
PD Predicate disambiguation batch_69a494c4969c819080375d08f9eec50c completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.