Triple

T1694807
Position Surface form Disambiguated ID Type / Status
Subject Amami Islands E36632 entity
Predicate majorCity P316 FINISHED
Object Amami City E401653 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: Amami City | Statement: [Amami Islands, majorCity, Amami City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amami City
Context triple: [Amami Islands, majorCity, Amami City]
  • A. Amami City chosen
    Amami City is the main urban and administrative hub of the Amami Islands in Kagoshima Prefecture, Japan, known for its subtropical climate and proximity to rich natural and marine environments.
  • B. Miyakojima City
    Miyakojima City is a Japanese municipal city in Okinawa Prefecture known for governing the Miyako Islands, a subtropical island group famous for its beaches and coral reefs.
  • C. Namba City
    Namba City is a large shopping and entertainment complex in Osaka’s Namba district, featuring retail stores, restaurants, offices, and a rooftop garden integrated with the surrounding urban landscape.
  • D. Sakai City
    Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
  • E. Maibara
    Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b53fc112688190be32ad336ebba91e completed March 14, 2026, 11 a.m.
Created at: March 4, 2026, 7:30 p.m.