Triple

T12512607
Position Surface form Disambiguated ID Type / Status
Subject Chungking E299116 entity
Predicate hasSubProvincialStatus P3434 FINISHED
Object yes 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: yes | Statement: [Chungking, hasSubProvincialStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubProvincialStatus
Context triple: [Chungking, hasSubProvincialStatus, yes]
  • A. isSubProvincialCity chosen
    Indicates that a city holds a sub-provincial administrative status, ranking below a province but above ordinary prefecture-level cities in the governmental hierarchy.
  • B. hasProvinceStatus
    Indicates that an entity holds the administrative or political status of a province within a larger territorial or governmental system.
  • C. isProvincial
    Indicates that something belongs to, is characteristic of, or is administered at the level of a province rather than a national or local level.
  • D. hasSubregionStatus
    Indicates that one region holds an official or defined status as a subregion within a larger geographic or administrative area.
  • E. isProvincialLevelMunicipality
    Indicates that a municipality holds the administrative status and authority of a province-level jurisdiction within a country’s governmental hierarchy.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954b867dc8190af8a70f797e4d133 completed April 10, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69d954096af88190b6be81b008c82139 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.