Triple

T32458429
Position Surface form Disambiguated ID Type / Status
Subject Wuhua County, Guangdong E829495 entity
Predicate hasPrefectureLevelCitySeat P28963 FINISHED
Object Meizhou 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: Meizhou | Statement: [Wuhua County, Guangdong, hasPrefectureLevelCitySeat, Meizhou]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrefectureLevelCitySeat
Context triple: [Wuhua County, Guangdong, hasPrefectureLevelCitySeat, Meizhou]
  • A. hasPrefecturalCapitalFunction
    Indicates that an entity serves as the administrative capital or main governmental center of a prefecture.
  • B. isInPrefecturalCapital
    Indicates that one entity is located within the administrative boundaries of a prefectural capital city.
  • C. hasPrefecturalOffice
    Indicates that a given location or administrative unit contains or hosts an official prefectural government office.
  • D. isPrefecturalCityOf chosen
    Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
  • E. hasPrefecture
    Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
  • 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_69f3491df9288190afc0b23b1d6e72ce completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a00c59b03dc8190870f0dd24603a1ef completed May 10, 2026, 5:51 p.m.
PD Predicate disambiguation batch_6a00c5178bc88190b2a0e03f38314035 completed May 10, 2026, 5:49 p.m.
Created at: May 1, 2026, 12:56 a.m.