Triple

T15823176
Position Surface form Disambiguated ID Type / Status
Subject Embera Katío language E383663 entity
Predicate hasAlternativeName P39 FINISHED
Object Embera Katio E81295 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: Embera Katio | Statement: [Embera Katío language, hasAlternativeName, Embera Katio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embera Katio
Context triple: [Embera Katío language, hasAlternativeName, Embera Katio]
  • A. Embera chosen
    Embera is an Indigenous people of Colombia and Panama known for their distinct languages, traditional riverine communities, and rich artistic and spiritual practices.
  • B. Kambaata
    Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
  • 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. Chogoria
    Chogoria is a town in Kenya that serves as a popular gateway and access point for climbers and trekkers heading to Mount Kenya, particularly via the Chogoria route to Point Lenana.
  • E. Barabaig
    Barabaig are a pastoralist ethnic subgroup of the Datooga people of north-central Tanzania, known for their cattle herding and distinct cultural traditions.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a96b848190845cf547034a24f2 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13392c48190b03cbed9df5a32a6 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.