Triple

T22441794
Position Surface form Disambiguated ID Type / Status
Subject Chengdu Metro Line 1 E554769 entity
Predicate depot P14646 FINISHED
Object Guangdu depot NE NERFINISHED

How this triple was built (3 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: Guangdu depot | Statement: [Chengdu Metro Line 1, depot, Guangdu depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guangdu depot
Context triple: [Chengdu Metro Line 1, depot, Guangdu depot]
  • A. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • B. Wanshengwei Depot
    Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • C. Daliao Depot
    Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
  • D. Pujiang Depot
    Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
  • E. Tucheng Depot
    Tucheng Depot is a maintenance and storage facility serving trains on Taipei's Bannan Line in New Taipei City, Taiwan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guangdu depot
Target entity description: Guangdu depot is a major maintenance and storage facility serving trains on Chengdu Metro Line 1 in Chengdu, China.
  • A. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • B. Wanshengwei Depot
    Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • C. Daliao Depot
    Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
  • D. Pujiang Depot
    Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
  • E. Tucheng Depot
    Tucheng Depot is a maintenance and storage facility serving trains on Taipei's Bannan Line in New Taipei City, Taiwan.
  • F. None of above. chosen

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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.