Triple

T427861
Position Surface form Disambiguated ID Type / Status
Subject Wuhan Railway Station E9647 entity
Predicate nativeName P15 FINISHED
Object 武汉站 E9647 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: 武汉站 | Statement: [Wuhan Railway Station, nativeName, 武汉站]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 武汉站
Context triple: [Wuhan Railway Station, nativeName, 武汉站]
  • A. Wuhan Railway Station chosen
    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.
  • 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. 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.
  • D. Wuhan Optics Valley
    Wuhan Optics Valley is a major high-tech development zone in Wuhan, China, known as a national hub for the optoelectronics and information technology industries.
  • E. Wuhan Metro
    Wuhan Metro is the rapid transit system serving the city of Wuhan, China, providing urban rail transportation across its major districts.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed7f3508190995dcd39586ed614 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f665c2881908850bce36cdf74b8 completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.