Triple

T3111851
Position Surface form Disambiguated ID Type / Status
Subject Ngobe E64968 entity
Predicate hasNeighboringLanguages P16383 FINISHED
Object Buglere E324741 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 | Statement: [Ngobe, hasNeighboringLanguages, Buglere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buglere
Context triple: [Ngobe, hasNeighboringLanguages, Buglere]
  • A. Buglere chosen
    Buglere is an indigenous language spoken by the Buglere people of Panama, belonging to the Chibchan language family.
  • B. Buglere people
    The Buglere people are an Indigenous group of Panama known for their distinct cultural traditions and use of the Buglere language.
  • 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. Bursins
    Bursins is a small wine-producing municipality in the canton of Vaud in western Switzerland, situated above Lake Geneva.
  • E. Burridge
    Burridge is an English surname of likely locational origin, associated with various places and families in the United Kingdom.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20397cbdc8190abdd93b502f9577f completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.