Triple

T33020263
Position Surface form Disambiguated ID Type / Status
Subject FATA Agencies E844888 entity
Predicate hadCapitalForAdministration P151559 FINISHED
Object Peshawar 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: Peshawar | Statement: [FATA Agencies, hadCapitalForAdministration, Peshawar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCapitalForAdministration
Context triple: [FATA Agencies, hadCapitalForAdministration, Peshawar]
  • A. hasCapitalAdministered
    Indicates that a specified capital city is responsible for administering or governing a particular territory or political entity.
  • B. capitalAdministeredFrom chosen
    Indicates that the administrative functions of a capital are carried out from a specified location.
  • C. laterGovernedAs
    Indicates that an entity subsequently held governing authority over another entity at a later time.
  • D. hadLocalGovernmentForm
    Indicates that an entity possessed or was organized under a particular form or system of local government.
  • E. hasCountyAdministration
    Indicates that an entity is governed, managed, or served by a specific county-level administrative 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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:23 a.m.