Triple

T27601254
Position Surface form Disambiguated ID Type / Status
Subject Ningyang County E700049 entity
Predicate prefectureLevelCitySeat P96684 FINISHED
Object Tai'an 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: Tai'an | Statement: [Ningyang County, prefectureLevelCitySeat, Tai'an]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: prefectureLevelCitySeat
Context triple: [Ningyang County, prefectureLevelCitySeat, Tai'an]
  • A. prefectureCapital
    Indicates that a city serves as the administrative capital of a given prefecture.
  • B. governingPrefecturalCapital
    Indicates that one entity serves as the administrative capital governing a particular prefecture.
  • C. prefecture-levelCity chosen
    Indicates that one entity is a city that holds prefecture-level administrative status in relation to another entity (typically a higher-level region or governing structure).
  • D. subprefectureCapital
    Indicates that one entity serves as the administrative capital or seat of government for a given subprefecture.
  • E. isPrefecturalCityOf
    Indicates that a city holds the administrative status of a prefecture-level city within a given region or 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_69f65876c52c8190bc889c7a67bd07f3 completed May 2, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69f6575d89788190aca478e4aea05a65 completed May 2, 2026, 7:58 p.m.
Created at: April 27, 2026, 2:08 p.m.