Triple

T8976860
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Chiyoda Line E214411 entity
Predicate rollingStock P1305 FINISHED
Object Tokyo Metro 16000 series
The Tokyo Metro 16000 series is a modern electric multiple unit train type operated by Tokyo Metro, primarily used for commuter services on the Chiyoda Line.
 E769046 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: Tokyo Metro 16000 series | Statement: [Tokyo Metro Chiyoda Line, rollingStock, Tokyo Metro 16000 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tokyo Metro 16000 series
Context triple: [Tokyo Metro Chiyoda Line, rollingStock, Tokyo Metro 16000 series]
  • A. Tokyo Metro 18000 series
    The Tokyo Metro 18000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Hanzomon Line and connecting suburban routes.
  • B. Tokyo Metro 17000 series
    The Tokyo Metro 17000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Fukutoshin and Yurakucho Lines with improved energy efficiency and passenger comfort.
  • C. Tokyo Metro 10000 series
    The Tokyo Metro 10000 series is a fleet of modern electric multiple unit trains operated by Tokyo Metro, known for serving through-services on several interconnected subway and private railway lines in the Tokyo area.
  • D. Tokyo Metro 1000 series
    The Tokyo Metro 1000 series is a modern electric multiple unit train used on Tokyo’s subway system, designed with retro-inspired styling that pays homage to the original Ginza Line cars while incorporating contemporary technology and comfort features.
  • E. Tokyo Metro 8000 series
    The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
  • 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: Tokyo Metro 16000 series
Triple: [Tokyo Metro Chiyoda Line, rollingStock, Tokyo Metro 16000 series]
Generated description
The Tokyo Metro 16000 series is a modern electric multiple unit train type operated by Tokyo Metro, primarily used for commuter services on the Chiyoda Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tokyo Metro 16000 series
Target entity description: The Tokyo Metro 16000 series is a modern electric multiple unit train type operated by Tokyo Metro, primarily used for commuter services on the Chiyoda Line.
  • A. Tokyo Metro 18000 series
    The Tokyo Metro 18000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Hanzomon Line and connecting suburban routes.
  • B. Tokyo Metro 17000 series
    The Tokyo Metro 17000 series is a modern electric multiple unit train operated by Tokyo Metro, designed for through-services on lines such as the Fukutoshin and Yurakucho Lines with improved energy efficiency and passenger comfort.
  • C. Tokyo Metro 10000 series
    The Tokyo Metro 10000 series is a fleet of modern electric multiple unit trains operated by Tokyo Metro, known for serving through-services on several interconnected subway and private railway lines in the Tokyo area.
  • D. Tokyo Metro 1000 series
    The Tokyo Metro 1000 series is a modern electric multiple unit train used on Tokyo’s subway system, designed with retro-inspired styling that pays homage to the original Ginza Line cars while incorporating contemporary technology and comfort features.
  • E. Tokyo Metro 8000 series
    The Tokyo Metro 8000 series is a fleet of electric multiple unit trains introduced in the early 1980s for Tokyo’s subway network, known for their long service life and multiple refurbishment programs.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6786c880819088393bb107a7364c completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96aa46c81908b95a23fd2b4da57 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca00ffa08190ad66fb99572a6275 completed April 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69cfca84937881909707497d733218e5 completed April 3, 2026, 2:11 p.m.
Created at: March 30, 2026, 7:02 p.m.