Triple

T22441117
Position Surface form Disambiguated ID Type / Status
Subject TMG E554755 entity
Predicate typeOfCapitalGovernment P79968 FINISHED
Object metropolitan capital government 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: metropolitan capital government | Statement: [TMG, typeOfCapitalGovernment, metropolitan capital government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCapitalGovernment
Context triple: [TMG, typeOfCapitalGovernment, metropolitan capital government]
  • A. governmentTypeAsCapital
    Indicates that the form or type of government is being characterized or represented as a kind of capital (e.g., political, social, or symbolic capital).
  • B. typeOfGovernmentInstitution
    Indicates that one entity is a government institution of the type or category specified by the other entity.
  • C. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • D. typeOfGovernmentCenter chosen
    Indicates the specific form or classification of governmental authority that a particular administrative center serves or represents.
  • E. governmentTypeStrengthened
    Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae1f82881908a611f134eb03f3d completed April 29, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.