Triple

T27601204
Position Surface form Disambiguated ID Type / Status
Subject Xintai E700047 entity
Predicate hasCountrySubdivisionStatus P45955 FINISHED
Object county-level city 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: county-level city | Statement: [Xintai, hasCountrySubdivisionStatus, county-level city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCountrySubdivisionStatus
Context triple: [Xintai, hasCountrySubdivisionStatus, county-level city]
  • A. countrySubdivisionStatus chosen
    Indicates the administrative or political status assigned to a specific subdivision within a country (such as state, province, or territory).
  • B. hasCountrySubdivisionLevel
    Indicates the hierarchical administrative level or tier at which a given country subdivision (such as a state, province, or region) is defined within the country's overall territorial organization.
  • C. hasSubregionStatus
    Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
  • D. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • E. hasPrimaryCountrySubdivision
    Indicates that an entity is associated with a main or principal first-level administrative division (such as a state, province, or region) within a specific country.
  • 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_69ef6a4e2e208190b63b7268f405785c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69ff1c91bbac8190b84012dee1cb3b2c completed May 9, 2026, 11:37 a.m.
PD Predicate disambiguation batch_69ff1c23ca508190bb5a435d765b7e53 completed May 9, 2026, 11:36 a.m.
Created at: April 27, 2026, 2:08 p.m.