Triple

T11285654
Position Surface form Disambiguated ID Type / Status
Subject Ōiso, Kanagawa E267178 entity
Predicate subdivisionName P747 FINISHED
Object Ōiso E141421 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: Ōiso | Statement: [Ōiso, Kanagawa, subdivisionName, Ōiso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōiso
Context triple: [Ōiso, Kanagawa, subdivisionName, Ōiso]
  • A. Ōiso chosen
    Ōiso is a coastal town in Kanagawa Prefecture, Japan, known as a historic seaside resort and former political retreat.
  • B. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • C. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • D. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • E. Isokari
    Isokari is a Finnish Baltic Sea island known for its historic lighthouse and rugged coastal nature, located off the coast of Uusikaupunki.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48070ac8190b0e4d49f42ac3896 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:31 p.m.