Triple

T4653661
Position Surface form Disambiguated ID Type / Status
Subject Hefei South Railway Station E102355 entity
Predicate hasCityTier P35160 FINISHED
Object provincial capital hub 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: provincial capital hub | Statement: [Hefei South Railway Station, hasCityTier, provincial capital hub]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityTier
Context triple: [Hefei South Railway Station, hasCityTier, provincial capital hub]
  • A. cityLevel chosen
    Indicates the administrative or hierarchical rank of a city within a broader regional or national structure.
  • B. urbanizationLevel
    Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
  • C. cityDistrictLevel
    Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
  • D. hasCountyLevelCity
    Indicates that an entity (typically a region or province) includes or administers one or more cities that hold county-level administrative status.
  • E. isMetropolitanCoreOf
    Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631623d881908a59dafa7702af54 completed March 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69bd62126b0c81909ba3f21b21e30d54 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:14 p.m.