Triple

T20062863
Position Surface form Disambiguated ID Type / Status
Subject Shenyang–Jilin Railway E499525 entity
Predicate hasTerminus P388 FINISHED
Object Shenyang Railway Station NE NERFINISHED

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: Shenyang Railway Station | Statement: [Shenyang–Jilin Railway, hasTerminus, Shenyang Railway Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenyang Railway Station
Context triple: [Shenyang–Jilin Railway, hasTerminus, Shenyang Railway Station]
  • A. Shenyang Railway Station chosen
    Shenyang Railway Station is a major railway hub in Shenyang, China, serving as a key junction for regional and national rail services.
  • B. Shenyang North Railway Station
    Shenyang North Railway Station is a major passenger and transportation hub in Shenyang, China, serving as one of the city’s primary railway terminals.
  • C. Benxi Railway Station
    Benxi Railway Station is a regional rail transport hub serving the city of Benxi in Liaoning Province, China.
  • D. Harbin Railway Station
    Harbin Railway Station is a major railway hub in northeastern China, serving as a key gateway for passenger and freight transport in and around the city of Harbin.
  • E. Hanyang Railway Station
    Hanyang Railway Station is a major transport hub in Wuhan, China, serving both mainline rail services and the city’s metro network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66376f2d4819081b9e1b265650e5b completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.