Triple

T3749633
Position Surface form Disambiguated ID Type / Status
Subject Embera E81295 entity
Predicate speaks P741 FINISHED
Object Embera Chamí language E383663 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 Chamí language | Statement: [Embera, speaks, Embera Chamí language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embera Chamí language
Context triple: [Embera, speaks, Embera Chamí language]
  • A. Embera Katío language chosen
    Embera Katío language is an indigenous Chocoan language of Colombia spoken by the Embera Katío people, known for its rich oral tradition and endangered status.
  • B. Embu language
    The Embu language is a Bantu language spoken primarily by the Embu people of central Kenya, closely related to other Mount Kenya languages such as Kikuyu and Meru.
  • C. Kambera language
    Kambera language is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia, known for its complex morphology and rich oral tradition.
  • D. Gurma language
    Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
  • E. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5005b18819083890de9eb985794 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.