Triple

T8171954
Position Surface form Disambiguated ID Type / Status
Subject Banda-Langbas language E190841 entity
Predicate glottologName P6521 FINISHED
Object Banda-Langbas E716104 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: Banda-Langbas | Statement: [Banda-Langbas language, glottologName, Banda-Langbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda-Langbas
Context triple: [Banda-Langbas language, glottologName, Banda-Langbas]
  • A. Banda-Yangere
    Banda-Yangere is a dialect of the Central Banda language spoken by Banda communities in parts of Central Africa.
  • B. Banda-Langbasi chosen
    Banda-Langbasi is a Central African Banda language variety spoken by the Banda people, primarily in the Central African Republic and surrounding regions.
  • C. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • D. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • E. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4807c9808190ad91a9c688a4c7fd completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced5a4398819085364b3a45a85941 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:39 p.m.