Triple

T573294
Position Surface form Disambiguated ID Type / Status
Subject Osaka Metro E13707 entity
Predicate nativeName P15 FINISHED
Object 大阪メトロ E13707 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: 大阪メトロ | Statement: [Osaka Metro, nativeName, 大阪メトロ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大阪メトロ
Context triple: [Osaka Metro, nativeName, 大阪メトロ]
  • A. Osaka Metro chosen
    Osaka Metro is the rapid transit network serving Japan’s city of Osaka and its surrounding urban area.
  • B. Osaka Metro Midosuji Line
    The Osaka Metro Midosuji Line is a major north–south subway line in Osaka, Japan, forming the city’s primary transit backbone and connecting key commercial and transport hubs.
  • C. Osaka Metro Sennichimae Line
    The Osaka Metro Sennichimae Line is a rapid transit line in Osaka, Japan, running east–west through central parts of the city and connecting major commercial and residential districts.
  • D. Osaka Loop Line
    The Osaka Loop Line is a circular railway line in Osaka, Japan, operated by JR West, that connects major urban and suburban districts around the city center.
  • E. Tokyo Metro
    Tokyo Metro is one of the two main rapid transit operators in Tokyo, running an extensive network of subway lines that serve the city’s central and metropolitan areas.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4ae0988190bdd0ad428b784d85 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5291f50e481909cf404c6b4050b94 completed March 2, 2026, 6:07 a.m.
Created at: March 1, 2026, 7:33 p.m.