Triple

T9205935
Position Surface form Disambiguated ID Type / Status
Subject Urasoe E220977 entity
Predicate regionalLanguage P237 FINISHED
Object Uchinaaguchi E664583 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: Uchinaaguchi | Statement: [Urasoe, regionalLanguage, Uchinaaguchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uchinaaguchi
Context triple: [Urasoe, regionalLanguage, Uchinaaguchi]
  • A. Uchinaaguchi chosen
    Uchinaaguchi is the indigenous Ryukyuan language traditionally spoken in Okinawa Island, distinct from standard Japanese in its vocabulary, grammar, and pronunciation.
  • B. Ukiha
    Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • E. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7941d893c81909f3b3bcf827e796d completed April 9, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:26 p.m.