Triple

T14203396
Position Surface form Disambiguated ID Type / Status
Subject Katsuren E352021 entity
Predicate localLanguage P1252 FINISHED
Object Uruma dialect E755600 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: Uruma dialect | Statement: [Katsuren, localLanguage, Uruma dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruma dialect
Context triple: [Katsuren, localLanguage, Uruma dialect]
  • A. Uruma dialect chosen
    The Uruma dialect is a regional variety of the Japanese language spoken in Uruma City on Okinawa Island, reflecting local Ryukyuan linguistic and cultural influences.
  • B. Nago dialect
    The Nago dialect is a regional variety of the Kunigami language spoken around Nago in northern Okinawa, Japan.
  • C. Kamia dialect
    The Kamia dialect is a regional variety of the Ipai-Tipai language traditionally spoken by the Kamia (Kumeyaay) people of southern California and northern Baja California.
  • D. Kuroshima dialect
    The Kuroshima dialect is a local variety of the Yaeyama language spoken on Kuroshima Island in Okinawa, Japan, reflecting the island’s distinct Ryukyuan linguistic and cultural heritage.
  • E. Kikai dialect
    The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1951421c81908959634e66857b61 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.