Triple

T3263714
Position Surface form Disambiguated ID Type / Status
Subject Fangshan Line E68472 entity
Predicate connectsWith P37 FINISHED
Object Yanfang Line E68685 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: Yanfang Line | Statement: [Fangshan Line, connectsWith, Yanfang Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanfang Line
Context triple: [Fangshan Line, connectsWith, Yanfang Line]
  • A. Yanfang Line chosen
    Yanfang Line is a suburban rapid transit line of the Beijing Subway serving the southwestern outskirts of the city.
  • 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. 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.
  • D. Pujiang Line
    The Pujiang Line is an automated, medium-capacity metro line serving the Pujiang area in Shanghai as part of the Shanghai Metro system.
  • E. Guangfo Line
    The Guangfo Line is an intercity rapid transit route that connects the cities of Guangzhou and Foshan as part of the Guangzhou Metro system.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.