Triple

T21095317
Position Surface form Disambiguated ID Type / Status
Subject Teshima E519749 entity
Predicate nearbyIsland P2064 FINISHED
Object Oshima (Kagawa) 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: Oshima (Kagawa) | Statement: [Teshima, nearbyIsland, Oshima (Kagawa)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshima (Kagawa)
Context triple: [Teshima, nearbyIsland, Oshima (Kagawa)]
  • A. Shimanto, Kōchi
    Shimanto, Kōchi is a town in Kōchi Prefecture, Japan, known for its scenic location along the clear Shimanto River and its rural, nature-rich environment.
  • B. Nakanoshima (Ōsumi)
    Nakanoshima (Ōsumi) is a volcanic island in Japan’s Kagoshima Prefecture, known for its remote location, subtropical climate, and role as part of the Tokara Island chain.
  • C. Shodoshima, Kagawa chosen
    Shodoshima, Kagawa is a Japanese island in the Seto Inland Sea known for its olive cultivation, scenic coastal landscapes, and traditional soy sauce production.
  • D. Nakanoshima
    Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
  • E. Nakanoshima
    Nakanoshima is a central river island and business district in Osaka, Japan, known for its government buildings, cultural institutions, and scenic waterfront parks.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:52 p.m.