Triple

T8735796
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 9 E207378 entity
Predicate depot P14646 FINISHED
Object Songjiang Depot
Songjiang Depot is a maintenance and storage facility serving Shanghai Metro Line 9 in the Songjiang District of Shanghai, China.
 E753261 NE FINISHED

How this triple was built (4 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: Songjiang Depot | Statement: [Shanghai Metro Line 9, depot, Songjiang Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Songjiang Depot
Context triple: [Shanghai Metro Line 9, depot, Songjiang Depot]
  • A. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • B. Tuqiao Depot
    Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
  • C. Wanshengwei Depot
    Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • D. Daliao Depot
    Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
  • E. Jiahewanggang Depot
    Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Songjiang Depot
Triple: [Shanghai Metro Line 9, depot, Songjiang Depot]
Generated description
Songjiang Depot is a maintenance and storage facility serving Shanghai Metro Line 9 in the Songjiang District of Shanghai, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Songjiang Depot
Target entity description: Songjiang Depot is a maintenance and storage facility serving Shanghai Metro Line 9 in the Songjiang District of Shanghai, China.
  • A. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • B. Tuqiao Depot
    Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
  • C. Wanshengwei Depot
    Wanshengwei Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • D. Daliao Depot
    Daliao Depot is a maintenance and storage facility serving trains on the Kaohsiung Mass Rapid Transit system in Kaohsiung, Taiwan.
  • E. Jiahewanggang Depot
    Jiahewanggang Depot is a major operations and maintenance facility serving Guangzhou Metro’s urban rail network in Guangzhou, China.
  • F. None of above. chosen

Provenance (5 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d44275881909f7eb40b24180294 completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf293a6a3c8190b37738d222b9212f completed April 3, 2026, 2:43 a.m.
NEDg Description generation batch_69cf2bd4f50c8190bad328e82d299ae0 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.