Triple

T7592272
Position Surface form Disambiguated ID Type / Status
Subject Basa Sasak E179764 entity
Predicate hasDialects P4251 FINISHED
Object Kuto-Kute dialect E179762 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: Kuto-Kute dialect | Statement: [Basa Sasak, hasDialects, Kuto-Kute dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuto-Kute dialect
Context triple: [Basa Sasak, hasDialects, Kuto-Kute dialect]
  • A. Kuto-Kute dialect chosen
    The Kuto-Kute dialect is a regional variety of the Sasak language spoken on the island of Lombok in Indonesia.
  • B. Kikai dialect
    The Kikai dialect is a regional variety of the Amami language spoken on Kikai Island in Japan’s Ryukyu archipelago.
  • 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. Sekopa dialect
    The Sekopa dialect is a regional variety of the Northern Sotho language spoken by specific communities in South Africa, distinguished by its own phonological and lexical features.
  • E. Satawan dialect
    The Satawan dialect is a regional variety of the Mortlockese language spoken primarily on Satawan Atoll in the Federated States of Micronesia.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86843a7808190a4c1d3c33a7441ed completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:53 p.m.