Triple

T18265079
Position Surface form Disambiguated ID Type / Status
Subject Forro language E437462 entity
Predicate hasAlternativeName P39 FINISHED
Object Língua forro NE NERFINISHED

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: Língua forro | Statement: [Forro language, hasAlternativeName, Língua forro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Língua forro
Context triple: [Forro language, hasAlternativeName, Língua forro]
  • A. Forro language chosen
    Forro language is a Portuguese-based creole spoken primarily on São Tomé Island in São Tomé and Príncipe.
  • B. Apurinã language
    The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
  • C. Bororo language
    The Bororo language is an indigenous Macro-Jê language of central Brazil, traditionally spoken by the Bororo people and known for its complex phonology and rich oral tradition.
  • D. Tapirapé language
    Tapirapé is an indigenous Tupian language spoken by the Tapirapé people of Brazil, known for its complex morphology and endangered status.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.