Triple

T219578
Position Surface form Disambiguated ID Type / Status
Subject offices of the Lieutenant Governor of New York E4183 entity
Predicate hasAdministrativeArea P8215 FINISHED
Object office suites 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: office suites | Statement: [offices of the Lieutenant Governor of New York, hasAdministrativeArea, office suites]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeArea
Context triple: [offices of the Lieutenant Governor of New York, hasAdministrativeArea, office suites]
  • A. hasAdministrativeCenter
    Indicates that an administrative unit (such as a region, district, or municipality) has a specific place designated as its main governing or administrative center.
  • B. hasAdministrativeUnit
    Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • E. hasMetropolitanAreaName
    Indicates that an entity is associated with a metropolitan area identified by a specific name.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69a25be349588190aedde33d80682344 completed Feb. 28, 2026, 3:07 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.