Triple

T5945897
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Metro Line 2 E132276 entity
Predicate connectsKeyNode P845 FINISHED
Object Hankou Railway Station E10464 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: Hankou Railway Station | Statement: [Wuhan Metro Line 2, connectsKeyNode, Hankou Railway Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hankou Railway Station
Context triple: [Wuhan Metro Line 2, connectsKeyNode, Hankou Railway Station]
  • A. Hankou Railway Station chosen
    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.
  • B. Wuchang Railway Station
    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.
  • 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. Jianghan Road Station
    Jianghan Road Station is an underground metro station in central Wuhan, China, serving the busy commercial district along Jianghan Road as part of the city's urban rail network.
  • 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: connectsKeyNode
Context triple: [Wuhan Metro Line 2, connectsKeyNode, Hankou Railway Station]
  • A. connectionTo
    Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
  • B. connectsTo chosen
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. connectsRole
    Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
  • D. connectsUnder
    Indicates that one entity forms a connection to another entity by passing beneath or under it.
  • E. connectsViaCanal
    Indicates that one entity is linked or joined to another by means of a canal.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03ee10b308190afe38b904ae7c5f7 completed March 22, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1135303bc81909f78f6d8d39c7de6 completed March 23, 2026, 10:17 a.m.
PD Predicate disambiguation batch_69c0335806788190b6488ca8b73f7a63 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:01 p.m.