Triple

T23390666
Position Surface form Disambiguated ID Type / Status
Subject Yangluo area E594006 entity
Predicate servedBy P82 FINISHED
Object Yangluo Line 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: Yangluo Line | Statement: [Yangluo area, servedBy, Yangluo Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yangluo Line
Context triple: [Yangluo area, servedBy, Yangluo Line]
  • A. Yangluo Line chosen
    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.
  • B. 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.
  • C. Yanfang Line
    Yanfang Line is a suburban rapid transit line of the Beijing Subway serving the southwestern outskirts of the city.
  • D. Liu-duan Line
    The Liu-duan Line is a regional railway line in Taiwan that forms part of the conventional rail network operated by the Taiwan Railways Administration.
  • E. Jingguang Railway
    Jingguang Railway is one of China’s major north–south trunk rail lines, linking Beijing with Guangzhou and serving as a key corridor for passenger and freight transport.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49bdfec8190afa592c66660c279 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.