Triple

T13593113
Position Surface form Disambiguated ID Type / Status
Subject Buglere E324741 entity
Predicate spokenBy P2181 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, spokenBy, Buglere people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buglere people
Context triple: [Buglere, spokenBy, 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. Bunun people
    The Bunun people are an indigenous Austronesian ethnic group of Taiwan, traditionally known as highland farmers and hunters with rich polyphonic vocal music and distinct cultural practices.
  • D. Buglar
    Buglar is one of Sethe’s sons in Toni Morrison’s novel "Beloved," known for abruptly fleeing the haunted family home as a young man.
  • E. 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.
  • 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_69f76bc578908190abd5cca94b1c3a5c completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.