Triple

T13159266
Position Surface form Disambiguated ID Type / Status
Subject Comarcas of Panama E312676 entity
Predicate hasIndigenousLanguage P4185 FINISHED
Object Guna language E68751 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: Guna language | Statement: [Comarcas of Panama, hasIndigenousLanguage, Guna language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guna language
Context triple: [Comarcas of Panama, hasIndigenousLanguage, Guna language]
  • A. Guna language chosen
    Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
  • B. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • C. Gudu language
    The Gudu language is a lesser-known Bantoid (Bena–Mboi) language spoken by a small ethnic community in northeastern Nigeria.
  • D. Gonja language
    The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
  • E. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0971008190869e9de710f4c579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf2ae688190b3484989791977ce completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.