Triple

T8077551
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 1 E188529 entity
Predicate depot P14646 FINISHED
Object Fujin Road Depot
Fujin Road Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
 E710384 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: Fujin Road Depot | Statement: [Shanghai Metro Line 1, depot, Fujin Road Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fujin Road Depot
Context triple: [Shanghai Metro Line 1, depot, Fujin Road Depot]
  • A. Munyang Depot
    Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • B. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • C. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • D. Tsurumi-ryokuchi Depot
    Tsurumi-ryokuchi Depot is a maintenance and storage facility for trains serving Osaka’s Nagahori Tsurumi-ryokuchi Line.
  • E. Meilong Depot
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, 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: Fujin Road Depot
Triple: [Shanghai Metro Line 1, depot, Fujin Road Depot]
Generated description
Fujin Road Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fujin Road Depot
Target entity description: Fujin Road Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • A. Munyang Depot
    Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • B. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • C. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • D. Tsurumi-ryokuchi Depot
    Tsurumi-ryokuchi Depot is a maintenance and storage facility for trains serving Osaka’s Nagahori Tsurumi-ryokuchi Line.
  • E. Meilong Depot chosen
    Meilong Depot is a major maintenance and storage facility serving Shanghai Metro’s Line 1 in Shanghai, China.
  • F. None of above.

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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a184488190b19ef7066f0f5057 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93eddef48190b5f499a5b52428c8 completed April 1, 2026, 3:41 a.m.
NEDg Description generation batch_69cc9557c6148190a759021b6add0a61 completed April 1, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69cc96a8bb688190a352de1798b380f1 completed April 1, 2026, 3:53 a.m.
Created at: March 30, 2026, 5:28 p.m.