Triple

T18735322
Position Surface form Disambiguated ID Type / Status
Subject Hamahiga Island E458147 entity
Predicate partOf P40 FINISHED
Object Uruma City 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: Uruma City | Statement: [Hamahiga Island, partOf, Uruma City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruma City
Context triple: [Hamahiga Island, partOf, Uruma City]
  • A. Uruma City chosen
    Uruma City is a municipality in central Okinawa, Japan, known for its coastal scenery, historical sites, and role as a local cultural and administrative center.
  • B. Kaga City
    Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
  • C. Fukuyama City
    Fukuyama City is a coastal city in Hiroshima Prefecture, Japan, known for its historic castle, traditional port areas like Tomonoura, and its role as a regional industrial and cultural center.
  • D. Awaji City
    Awaji City is a municipality located on Awaji Island in Hyōgo Prefecture, Japan, known for its scenic coastal landscapes, agriculture, and cultural heritage.
  • E. Tosa City
    Tosa City is a coastal municipality on the island of Shikoku in Japan, known for its fishing industry and scenic Pacific shoreline.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7ae10081908bc6857d1d147eef completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.