Triple

T26624297
Position Surface form Disambiguated ID Type / Status
Subject AMR E668292 entity
Predicate basedInFederalSubject P13794 FINISHED
Object Khabarovsk Krai 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: Khabarovsk Krai | Statement: [AMR, basedInFederalSubject, Khabarovsk Krai]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedInFederalSubject
Context triple: [AMR, basedInFederalSubject, Khabarovsk Krai]
  • A. federalSubject
    Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
  • B. containsFederalSubject
    Indicates that one administrative or territorial entity includes a specific federal subject within its jurisdiction or boundaries.
  • C. usedInFederalSubject
    Indicates that something (such as a law, standard, or resource) is applied, implemented, or in effect within a specific federal subject (administrative region) of a country.
  • D. locatedInFederalEntity chosen
    Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
  • E. federalAffiliation
    Indicates a formal relationship in which an entity is associated with, governed by, or part of a federal-level organization or authority.
  • 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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 27, 2026, 2:22 a.m.