Triple

T1183180
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Metro Hanzomon Line E25185 entity
Predicate connectsDistrict P2564 FINISHED
Object Aoyama E190766 NE FINISHED

How this triple was built (2 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: Aoyama | Statement: [Tokyo Metro Hanzomon Line, connectsDistrict, Aoyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aoyama
Context triple: [Tokyo Metro Hanzomon Line, connectsDistrict, Aoyama]
  • A. Aoyama chosen
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Fukuchiyama
    Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
  • C. Fujiyoshida
    Fujiyoshida is a Japanese city in Yamanashi Prefecture, best known as a gateway to Mount Fuji and a popular base for climbers and tourists visiting the iconic volcano.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd35fb888190adf1e5d0615fa725 completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51572d808190b6e2e7a8a3b597f0 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:45 p.m.