Triple

T33395510
Position Surface form Disambiguated ID Type / Status
Subject Open Skies Treaty E855159 entity
Predicate headquartersOfImplementation P124389 FINISHED
Object Vienna 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: Vienna | Statement: [Open Skies Treaty, headquartersOfImplementation, Vienna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headquartersOfImplementation
Context triple: [Open Skies Treaty, headquartersOfImplementation, Vienna]
  • A. headquartersOfImplementingAgency chosen
    Indicates that a specified location serves as the main headquarters of the agency responsible for implementing a particular project, program, or policy.
  • B. headquartersDuringScheme
    Indicates that an entity served as the headquarters of another entity specifically during a particular scheme, plan, or operational period.
  • C. headquartersAt
    Indicates that an organization’s main administrative center or primary office is located at a specified place.
  • D. administrativeHeadquarter
    Indicates the location that serves as the main administrative center or headquarters for an organization or governing body.
  • E. headquartersOfOffice
    Indicates that a particular location serves as the main headquarters for a specified office or organizational 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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:35 a.m.