Triple

T219566
Position Surface form Disambiguated ID Type / Status
Subject offices of the Lieutenant Governor of New York E4183 entity
Predicate hasOccupantRole P161 FINISHED
Object second-highest executive officer of New York State 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 New York State | Statement: [offices of the Lieutenant Governor of New York, hasOccupantRole, second-highest executive officer of New York State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOccupantRole
Context triple: [offices of the Lieutenant Governor of New York, hasOccupantRole, second-highest executive officer of New York State]
  • A. occupiedBy
    Indicates that a space, position, or role is currently being used, held, or filled by a particular entity.
  • B. hasAuxiliaryRole
    Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
  • C. occupiedFrom
    Indicates that an entity is in use or inhabited starting from a specified point in time.
  • D. hasEquivalentRole
    Indicates that two entities hold roles that are functionally the same or interchangeable in a given context.
  • E. hasRole chosen
    Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c6d0fa08190810139b14f4851bc completed Feb. 28, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69a25b5357bc8190b29a48e3053fb76d completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.