Triple

T3104302
Position Surface form Disambiguated ID Type / Status
Subject Korat, Thailand E64793 entity
Predicate countrySubdivisionStatus P45955 FINISHED
Object provincial capital 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: provincial capital | Statement: [Korat, Thailand, countrySubdivisionStatus, provincial capital]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countrySubdivisionStatus
Context triple: [Korat, Thailand, countrySubdivisionStatus, provincial capital]
  • A. countrySubdivisionType
    Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
  • B. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • C. regionStatus
    Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
  • D. countrySubdivisionStandardLink
    Indicates a reference or link to the standard or authoritative specification that defines the country’s internal subdivisions.
  • E. hasSubregionStatus
    Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
  • F. None of above. chosen

Provenance (4 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26f376c8190a049399e33314d52 completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f6fef48190b13898be383a246b completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:03 p.m.