Triple

T13593105
Position Surface form Disambiguated ID Type / Status
Subject Buglere people E324740 entity
Predicate hasAutonymLanguage P70102 FINISHED
Object Buglere language E64360 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: Buglere language | Statement: [Buglere people, hasAutonymLanguage, Buglere language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buglere language
Context triple: [Buglere people, hasAutonymLanguage, Buglere language]
  • A. Buglere language chosen
    The Buglere language is an indigenous Chibchan language spoken by the Buglere people of Panama and closely related to the Ngäbere language.
  • B. Buga language
    The Buga language is a lesser-known member of the Khoe family of southern African languages, spoken by a small community and considered endangered.
  • C. Batuley language
    The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
  • D. Bugotu language
    The Bugotu language is an Oceanic language spoken by the Bugotu people of Santa Isabel Island in the Solomon Islands.
  • E. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.