Triple

T6086712
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 4 E135655 entity
Predicate hasStation P35 FINISHED
Object Wuchang Railway Station E11196 NE 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: Wuchang Railway Station | Statement: [Wuhan Metro Line 4, hasStation, Wuchang Railway Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuchang Railway Station
Context triple: [Wuhan Metro Line 4, hasStation, Wuchang Railway Station]
  • A. Wuchang Railway Station chosen
    Wuchang Railway Station is one of the main passenger rail hubs in Wuhan, China, serving as a key node for regional and long-distance train services.
  • B. Hankou Railway Station
    Hankou Railway Station is one of the main passenger rail hubs in Wuhan, China, serving as a key node for regional and high-speed train services.
  • C. Wuhan Railway Station
    Wuhan Railway Station is a major modern high-speed rail hub in Wuhan, China, known for its large scale and distinctive, wave-like architectural design.
  • D. Dongshankou Station
    Dongshankou Station is an underground interchange station on the Guangzhou Metro system serving the Dongshan area of Guangzhou, China.
  • E. Nanchang Railway Station
    Nanchang Railway Station is a major passenger and transportation hub in Nanchang, Jiangxi Province, serving as one of the city’s primary rail gateways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0578a8b8081908490e447ae3419f9 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d4e28b48190bb44675c5c035bd3 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:12 p.m.