Triple

T2266500
Position Surface form Disambiguated ID Type / Status
Subject Jinshan District E50156 entity
Predicate hasTransport P1298 FINISHED
Object Jinshan Railway E215696 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: Jinshan Railway | Statement: [Jinshan District, hasTransport, Jinshan Railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinshan Railway
Context triple: [Jinshan District, hasTransport, Jinshan Railway]
  • A. Xijiao Line
    The Xijiao Line is a light rail transit line in Beijing that primarily serves the city’s western suburban areas, including university and technology districts.
  • B. Yangluo Line
    The Yangluo Line is a rapid transit line within the Wuhan Metro system serving the Yangluo area and connecting it to the broader urban network.
  • C. Yanfang Line
    Yanfang Line is a suburban rapid transit line of the Beijing Subway serving the southwestern outskirts of the city.
  • D. Hukun railway
    Hukun railway is a major Chinese rail line connecting Shanghai with Kunming, linking the country’s eastern coast to its southwestern interior.
  • E. Shanghai–Kunming railway chosen
    The Shanghai–Kunming railway is a major east–west trunk line in China that connects the coastal metropolis of Shanghai with the southwestern city of Kunming, traversing several key provinces and economic regions.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18fff0c8190acd73d8db8a41cff completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.