Triple

T14302075
Position Surface form Disambiguated ID Type / Status
Subject Toei Shinjuku Line E354590 entity
Predicate depot P14646 FINISHED
Object Oshima Depot
Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
E1092589 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: Oshima Depot | Statement: [Toei Shinjuku Line, depot, Oshima Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshima Depot
Context triple: [Toei Shinjuku Line, depot, Oshima Depot]
  • A. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • B. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • C. Imazato Depot
    Imazato Depot is a maintenance and storage facility for Osaka Metro trains serving the Imazatosuji Line in Osaka, Japan.
  • D. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • E. Saginuma Depot
    Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
  • 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: Oshima Depot
Triple: [Toei Shinjuku Line, depot, Oshima Depot]
Generated description
Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oshima Depot
Target entity description: Oshima Depot is a maintenance and storage facility for trains operating on Tokyo’s Toei Shinjuku Line.
  • A. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • B. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • C. Imazato Depot
    Imazato Depot is a maintenance and storage facility for Osaka Metro trains serving the Imazatosuji Line in Osaka, Japan.
  • D. Suminoe Depot
    Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
  • E. Saginuma Depot
    Saginuma Depot is a maintenance and storage facility for Tokyo Metro trains serving the Hanzomon Line in the Tokyo area.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4682f86881908c9fb210bb9e486a completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47061cb081909abe5fe35aa03ead completed May 8, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69fd4781a6788190a2174a87e00a1fd8 completed May 8, 2026, 2:16 a.m.
Created at: April 10, 2026, 1:12 a.m.