Triple

T11900829
Position Surface form Disambiguated ID Type / Status
Subject coat of arms of Transnistria E283144 entity
Predicate juridicalStatusOfStateUsingIt P34336 FINISHED
Object partially recognized 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: partially recognized | Statement: [coat of arms of Transnistria, juridicalStatusOfStateUsingIt, partially recognized]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: juridicalStatusOfStateUsingIt
Context triple: [coat of arms of Transnistria, juridicalStatusOfStateUsingIt, partially recognized]
  • A. statehoodStatus chosen
    Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
  • B. statusInUnitedStates
    Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
  • C. federalStatus
    Indicates that an entity holds a particular legal or administrative status under federal (national) authority or jurisdiction.
  • D. colonyLegalStatus
    Indicates the legal or political status that a colony holds under a governing authority or jurisdiction.
  • E. usedLegalStatus
    Indicates that one entity applies or relies on the legal status or classification of another entity in a given 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.