Triple

T26336370
Position Surface form Disambiguated ID Type / Status
Subject Whittier, Alaska E662531 entity
Predicate formerMilitaryFacility P126626 FINISHED
Object Buckner Building 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: Buckner Building | Statement: [Whittier, Alaska, formerMilitaryFacility, Buckner Building]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerMilitaryFacility
Context triple: [Whittier, Alaska, formerMilitaryFacility, Buckner Building]
  • A. formerMilitaryBase chosen
    Indicates that a location was previously used as a military base but no longer serves that function.
  • B. militaryInstallationType
    Indicates the specific category or kind of military installation associated with an entity (e.g., base, fort, airfield, naval station).
  • C. partOfMilitaryStructure
    Indicates that one entity is a component, unit, or subdivision within the organizational hierarchy of a military structure.
  • D. hostsMilitaryInstallation
    Indicates that a location contains or accommodates a military base, facility, or installation operated by armed forces.
  • E. nearMilitaryInstallation
    Indicates that one entity is located in close physical proximity to a military installation or facility.
  • 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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f7886be6d8819095ec62e4f2cee858 completed May 3, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69f7841440f48190b4346c08855951d2 completed May 3, 2026, 5:21 p.m.
Created at: April 26, 2026, 10:36 p.m.