Triple

T504186
Position Surface form Disambiguated ID Type / Status
Subject Hankou Railway Station E10464 entity
Predicate districtServed P82 FINISHED
Object Jianghan District E70518 NE FINISHED

How this triple was built (3 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: Jianghan District | Statement: [Hankou Railway Station, districtServed, Jianghan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jianghan District
Context triple: [Hankou Railway Station, districtServed, Jianghan District]
  • A. Jianghan District chosen
    Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
  • B. Hongshan District
    Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
  • C. Xicheng District
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • D. Fengxian District
    Fengxian District is a suburban district in the southern part of Shanghai, China, known for its coastal location, agricultural areas, and growing residential and industrial development.
  • E. Huangpu District
    Huangpu District is Shanghai’s historic and commercial core, encompassing landmarks like the Bund and People’s Square and serving as a major political, cultural, and financial center of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: districtServed
Context triple: [Hankou Railway Station, districtServed, Jianghan District]
  • A. areaServed chosen
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • B. boroughServed
    Indicates that a given entity (such as a facility, service, or route) serves or provides coverage to a specific borough.
  • C. district
    Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
  • D. districtBasedOn
    Indicates that one district is defined, derived, or established based on the boundaries, characteristics, or structure of another entity or area.
  • E. sectorServed
    Indicates the industry or economic sector that an entity primarily serves or targets with its activities, products, or services.
  • F. None of above.

Provenance (4 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f149bd1c81908ff58ac504ace2bf completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efca0f888190add0fe7ab325bfdf completed March 2, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69a2edfce7a08190a408bc019de60d5d completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.