Triple

T18535787
Position Surface form Disambiguated ID Type / Status
Subject Itō E452962 entity
Predicate hasVariantSpelling P457 FINISHED
Object Ito NE NERFINISHED

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: Ito | Statement: [Itō, hasVariantSpelling, Ito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ito
Context triple: [Itō, hasVariantSpelling, Ito]
  • A. Ogawa
    Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
  • B. Ogawa
    Ogawa is a serotype of the bacterium Vibrio cholerae O1, commonly associated with cholera outbreaks worldwide.
  • C. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • D. Itō chosen
    Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
  • E. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5340193588190ace2c09c6a94cf81 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.