Triple

T3085479
Position Surface form Disambiguated ID Type / Status
Subject Buglere language E64360 entity
Predicate usedBy P260 FINISHED
Object Buglere people E324740 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 people | Statement: [Buglere language, usedBy, Buglere people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buglere people
Context triple: [Buglere language, usedBy, Buglere people]
  • A. Buglere people chosen
    The Buglere people are an Indigenous group of Panama known for their distinct cultural traditions and use of the Buglere language.
  • B. Buglere
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • C. Bugulma
    Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
  • D. Buglere language
    The Buglere language is an indigenous Chibchan language spoken by the Buglere people of Panama and closely related to the Ngäbere language.
  • E. Bilen people
    The Bilen people are an ethnic group of Eritrea known for their distinct Cushitic language, rich oral traditions, and predominantly Muslim and Christian communities.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1eac5548190bee60ea8262c65a8 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203607df081909499458d6608f0e6 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.