Triple

T21311101
Position Surface form Disambiguated ID Type / Status
Subject Yoron Island E525335 entity
Predicate administrativeCenter P1474 FINISHED
Object Yoron Town 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: Yoron Town | Statement: [Yoron Island, administrativeCenter, Yoron Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoron Town
Context triple: [Yoron Island, administrativeCenter, Yoron Town]
  • A. Yoron Town chosen
    Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
  • B. Wakuya Town
    Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
  • C. Nōmi Town
    Nōmi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
  • D. Watari Town
    Watari Town is a coastal municipality in northeastern Japan known for its agriculture, particularly strawberry cultivation, and its location along the Pacific Ocean in Miyagi Prefecture.
  • E. Yusuhara Town
    Yusuhara Town is a small, mountainous municipality in western Kōchi Prefecture, Japan, known for its rich natural scenery and innovative use of timber in environmentally conscious architecture.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dc926c881909d70a317070ef295 completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:13 p.m.