Triple

T22933126
Position Surface form Disambiguated ID Type / Status
Subject Sigi Kaili E569498 entity
Predicate hasAlternativeName P39 FINISHED
Object Kaili Sigi dialect 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: Kaili Sigi dialect | Statement: [Sigi Kaili, hasAlternativeName, Kaili Sigi dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaili Sigi dialect
Context triple: [Sigi Kaili, hasAlternativeName, Kaili Sigi dialect]
  • A. Kaili language chosen
    The Kaili language is an Austronesian language spoken primarily in Central Sulawesi, Indonesia, known for its multiple dialects and role as a regional lingua franca.
  • B. Fang-Ntumu dialect
    The Fang-Ntumu dialect is a regional variety of the Beti-Fang language continuum spoken primarily by Fang communities in Central Africa.
  • C. Baisha dialect
    The Baisha dialect is a regional variety of the Nakhi language spoken primarily in and around Baisha in Yunnan, China.
  • D. Tappalang dialect
    The Tappalang dialect is a regional variety of the Mandar language spoken by Mandar communities in parts of West Sulawesi, Indonesia.
  • E. Tunxi dialect
    The Tunxi dialect is a regional variety of Huizhou Chinese spoken in and around Tunxi (in Huangshan City, Anhui Province), known for its distinctive phonology and vocabulary within the Huizhou dialect group.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.