Triple

T12291836
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 18 E292981 entity
Predicate hasDepot P2413 FINISHED
Object Hangtou depot
Hangtou depot is a maintenance and storage facility serving Shanghai Metro Line 18 in Shanghai, China.
E977584 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: Hangtou depot | Statement: [Shanghai Metro Line 18, hasDepot, Hangtou depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangtou depot
Context triple: [Shanghai Metro Line 18, hasDepot, Hangtou depot]
  • A. Pujiang Depot
    Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
  • B. Tuqiao Depot
    Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
  • C. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • D. Songjiang Depot
    Songjiang Depot is a maintenance and storage facility serving Shanghai Metro Line 9 in the Songjiang District of Shanghai, China.
  • E. Wanshengwei Depot
    Wanshengwei 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: Hangtou depot
Triple: [Shanghai Metro Line 18, hasDepot, Hangtou depot]
Generated description
Hangtou depot is a maintenance and storage facility serving Shanghai Metro Line 18 in Shanghai, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hangtou depot
Target entity description: Hangtou depot is a maintenance and storage facility serving Shanghai Metro Line 18 in Shanghai, China.
  • A. Pujiang Depot
    Pujiang Depot is the main maintenance and storage facility serving Shanghai’s automated Pujiang Line metro system.
  • B. Tuqiao Depot
    Tuqiao Depot is a maintenance and storage facility serving trains on Beijing’s Batong Line of the subway system.
  • C. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • D. Songjiang Depot
    Songjiang Depot is a maintenance and storage facility serving Shanghai Metro Line 9 in the Songjiang District of Shanghai, China.
  • E. Wanshengwei Depot
    Wanshengwei 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d22ba488190914342fa7e69e159 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a995c508190b7ef77e400d03f87 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c54e6b08190bdae0ec35cc1c48d completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d0c2568819083e66c8ae484d30d completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:52 p.m.