Triple

T23060167
Position Surface form Disambiguated ID Type / Status
Subject Bunung E574275 entity
Predicate hasDialect P4251 FINISHED
Object Takbanuaz 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: Takbanuaz dialect | Statement: [Bunung, hasDialect, Takbanuaz dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takbanuaz dialect
Context triple: [Bunung, hasDialect, Takbanuaz dialect]
  • A. Takbanuaz dialect chosen
    The Takbanuaz dialect is a regional variety of the Bunun language spoken by an indigenous Bunun subgroup in Taiwan.
  • B. Zanniat dialect
    The Zanniat dialect is a regional variety of the Falam Chin language spoken by the Zanniat people in parts of Chin State, Myanmar.
  • C. Kebkabiya dialect
    The Kebkabiya dialect is a regional variety of the Foor language spoken around the Kebkabiya area, distinguished by its local phonological and lexical features.
  • D. Bakhah dialect
    The Bakhah dialect is a regional variety of Arabic spoken in parts of Syria, closely associated with the speech community of Bakhah village and sharing many features with neighboring mountain dialects.
  • E. Razihi dialect
    The Razihi dialect is a highly distinctive and conservative Arabic variety spoken in parts of northwestern Yemen, noted for preserving many archaic linguistic features.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899f359081909e89e19db3833a3d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.