Triple

T16240223
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Tozai Line E394221 entity
Predicate depot P14646 FINISHED
Object Fukagawa Depot
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
 E1203181 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: Fukagawa Depot | Statement: [Tokyo Metro Tozai Line, depot, Fukagawa Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fukagawa Depot
Context triple: [Tokyo Metro Tozai Line, depot, Fukagawa Depot]
  • A. Oshima Depot
    Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
  • B. Shimura Depot
    Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
  • C. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • D. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • E. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • 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: Fukagawa Depot
Triple: [Tokyo Metro Tozai Line, depot, Fukagawa Depot]
Generated description
Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fukagawa Depot
Target entity description: Fukagawa Depot is a major Tokyo Metro maintenance and storage facility serving trains on the Tozai Line.
  • A. Oshima Depot
    Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
  • B. Shimura Depot
    Shimura Depot is a train maintenance and storage facility serving Tokyo's Toei Mita Line.
  • C. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • D. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • E. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017afc578819086478bbdddc149df completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a0018a2e8c08190a27c242f635b54ee completed May 10, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0018f6de84819087b8e97b0400c77d completed May 10, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:04 a.m.