Triple

T6934793
Position Surface form Disambiguated ID Type / Status
Subject Buglé E160527 entity
Predicate ethnicallyRelatedTo P1969 FINISHED
Object Ngäbe E74959 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: Ngäbe | Statement: [Buglé, ethnicallyRelatedTo, Ngäbe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngäbe
Context triple: [Buglé, ethnicallyRelatedTo, Ngäbe]
  • A. Ngäbe chosen
    Ngäbe are an Indigenous people of Central America, primarily living in Panama and Costa Rica, known for their distinct Ngäbere language and rich cultural traditions.
  • B. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • C. Kabaena
    Kabaena is an island in Indonesia known for its location off the coast of Sulawesi and its mix of coastal and hilly landscapes.
  • D. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • E. Njaba
    Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da429b5c8190a59901e0005a5415 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514ead808190bff53b49b5f331fb completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.