Triple

T33712738
Position Surface form Disambiguated ID Type / Status
Subject Chengdu Airlines E863784 entity
Predicate hasMainBaseCity P1655 FINISHED
Object Chengdu 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: Chengdu | Statement: [Chengdu Airlines, hasMainBaseCity, Chengdu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainBaseCity
Context triple: [Chengdu Airlines, hasMainBaseCity, Chengdu]
  • A. hasMajorCity
    Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
  • B. servesAsFocusCityFor chosen
    Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
  • C. hasMajorCityOfUse
    Indicates that a particular city is the primary or most significant location where something (e.g., a product, language, service) is predominantly used or applied.
  • D. homeCityIsSeatOf
    Indicates that the person’s home city serves as the administrative or governmental seat (e.g., capital) of a larger region such as a state, province, or country.
  • E. formerBaseCity
    Indicates that a location previously served as the primary base or home city for an entity, but no longer holds that status.
  • 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a01302a80ec8190a27692f09ac38a80 completed May 11, 2026, 1:26 a.m.
PD Predicate disambiguation batch_6a012fad62308190a53f8b4a071eb245 completed May 11, 2026, 1:23 a.m.
Created at: May 1, 2026, 1:43 a.m.