Triple

T13980780
Position Surface form Disambiguated ID Type / Status
Subject Rinconada E336303 entity
Predicate hasDialect P4251 FINISHED
Object Nabua dialect E336304 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: Nabua dialect | Statement: [Rinconada, hasDialect, Nabua dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabua dialect
Context triple: [Rinconada, hasDialect, Nabua dialect]
  • A. Nabua dialect chosen
    The Nabua dialect is a local variety of the Rinconada Bikol language spoken primarily in and around the municipality of Nabua in Camarines Sur, Philippines.
  • B. Nankani dialect
    The Nankani dialect is a regional variety of the Gur-language cluster spoken in northern Ghana and southern Burkina Faso, associated with the Nankani people.
  • C. Noatia dialect
    The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
  • D. 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.
  • E. Nohurli dialect
    The Nohurli dialect is a regional variety of Turkmen spoken by the Nohur people in parts of Turkmenistan, distinguished by its unique phonetic and lexical features.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea10dc88190b9720919a021e570 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e5f2008190a0701ae37ed5219d completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.