Triple

T25459275
Position Surface form Disambiguated ID Type / Status
Subject Kunming Wujiaba International Airport E637997 entity
Predicate servedPopulationCenter P79065 FINISHED
Object Kunming metropolitan area 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: Kunming metropolitan area | Statement: [Kunming Wujiaba International Airport, servedPopulationCenter, Kunming metropolitan area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedPopulationCenter
Context triple: [Kunming Wujiaba International Airport, servedPopulationCenter, Kunming metropolitan area]
  • A. servesPopulationCentre chosen
    Indicates that one entity provides services or functions in support of a particular population centre.
  • B. hasPopulationCenter
    Indicates that an area, region, or administrative unit contains or is served by a primary settlement or population hub.
  • C. appliesToPopulationCenter
    Indicates that something (such as a rule, condition, or characteristic) is relevant or applicable to a specific population center (e.g., a city, town, or urban area).
  • D. hasPopulationCenterType
    Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
  • E. urbanCenterServed
    Indicates that a particular urban center is provided with services or coverage by a specified entity (such as an infrastructure system, facility, or organization).
  • 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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 21, 2026, 2:11 p.m.