Triple

T71895
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Governor of California E1438 entity
Predicate positionInGovernment P2259 FINISHED
Object second-highest executive officer of California 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: second-highest executive officer of California | Statement: [Lieutenant Governor of California, positionInGovernment, second-highest executive officer of California]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInGovernment
Context triple: [Lieutenant Governor of California, positionInGovernment, second-highest executive officer of California]
  • A. constitutionalPosition chosen
    Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
  • B. usedInGovernmentBody
    Indicates that an entity is employed by, serves within, or is otherwise functionally involved in the operations of a government body.
  • C. roleInCongress
    Indicates the specific position or function an individual holds within a legislative congress.
  • D. electedOffice
    Indicates that an entity holds or has held a particular office or position as a result of an election.
  • E. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f6997c081908b202f937eb2b14f completed Feb. 28, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69a24eab7f408190a8275cb82474f575 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.