Triple

T12577319
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro Sakaisuji Line E300241 entity
Predicate depot P14646 FINISHED
Object Kunijima Depot
Kunijima Depot is a maintenance and storage facility serving trains on Osaka’s Metro network in Japan.
E996965 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: Kunijima Depot | Statement: [Osaka Metro Sakaisuji Line, depot, Kunijima Depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunijima Depot
Context triple: [Osaka Metro Sakaisuji Line, depot, Kunijima Depot]
  • A. Tachikawa Depot
    Tachikawa Depot is the main maintenance and storage facility serving the Tama Toshi Monorail Line in Tachikawa, Tokyo, Japan.
  • B. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • 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. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • 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: Kunijima Depot
Triple: [Osaka Metro Sakaisuji Line, depot, Kunijima Depot]
Generated description
Kunijima Depot is a maintenance and storage facility serving trains on Osaka’s Metro network in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kunijima Depot
Target entity description: Kunijima Depot is a maintenance and storage facility serving trains on Osaka’s Metro network in Japan.
  • A. Tachikawa Depot
    Tachikawa Depot is the main maintenance and storage facility serving the Tama Toshi Monorail Line in Tachikawa, Tokyo, Japan.
  • B. Nakamozu Depot
    Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
  • 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. Nakano Depot
    Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a73c148190bba8f16b1232fd46 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6735b3de08190ab4665206fe71eb4 completed May 2, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_69f6745a5c148190a76753fdb699706a completed May 2, 2026, 10:02 p.m.
Created at: April 9, 2026, 4:53 p.m.