Triple

T17102392
Position Surface form Disambiguated ID Type / Status
Subject Tama area E415010 entity
Predicate hasPart P35 FINISHED
Object Mizuho E193098 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: Mizuho | Statement: [Tama area, hasPart, Mizuho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mizuho
Context triple: [Tama area, hasPart, Mizuho]
  • A. Mizuho
    Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
  • B. Mizuho chosen
    Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
  • C. Sumitomo Mitsui Banking Corporation
    Sumitomo Mitsui Banking Corporation is one of Japan’s largest commercial banks, offering a wide range of corporate, retail, and investment banking services domestically and internationally.
  • D. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • E. Mitsubishi UFJ Financial Group
    Mitsubishi UFJ Financial Group is one of the world’s largest financial institutions, serving as the core banking and financial services arm of the Mitsubishi corporate group in Japan.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc239a088190a776fe0f4361ffc7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fdda488190a1ca5c7ca875e044 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.