Triple

T560899
Position Surface form Disambiguated ID Type / Status
Subject Emberá E13446 entity
Predicate hasAlternativeName P39 FINISHED
Object Embera 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 | Statement: [Emberá, hasAlternativeName, Embera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Embera
Context triple: [Emberá, hasAlternativeName, Embera]
  • 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. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • C. Ancud
    Ancud is a coastal city on northern Chiloé Island in southern Chile, known historically as a Spanish stronghold and for its maritime heritage and nearby natural landscapes.
  • D. Ikwerre
    Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
  • E. Ngobe
    Ngobe is an alternative transliteration of Ngäbere, the language of the Ngäbe (Guaymí) Indigenous people of Panama and Costa Rica.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e2795c8190903240e79964156d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:32 p.m.