Triple

T6510007
Position Surface form Disambiguated ID Type / Status
Subject Konjo language E150102 entity
Predicate endonym P1435 FINISHED
Object Basa Konjo E150102 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: Basa Konjo | Statement: [Konjo language, endonym, Basa Konjo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basa Konjo
Context triple: [Konjo language, endonym, Basa Konjo]
  • A. Basa Ugi
    Basa Ugi is the native name for the Buginese language spoken by the Bugis people of South Sulawesi, Indonesia.
  • B. Konjo language chosen
    The Konjo language is an Austronesian language spoken by the Konjo people of South Sulawesi, Indonesia, known for its distinct coastal and highland dialects.
  • C. Konawe language
    The Konawe language is an Austronesian language spoken in Southeast Sulawesi, Indonesia, primarily by the Konawe people.
  • D. Kichwa
    Kichwa is a Quechuan indigenous language variety widely spoken by Andean communities in Ecuador and neighboring regions.
  • E. Sango language
    Sango is a Central African lingua franca and national language of the Central African Republic, originating as a Ngbandi-based trade language and now used widely in government, education, and daily communication.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5782fc8190a56b714bbc007490 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.