Triple

T7250898
Position Surface form Disambiguated ID Type / Status
Subject Moxo language E157596 entity
Predicate hasDialect P4251 FINISHED
Object Trinitario Moxo E651218 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: Trinitario Moxo | Statement: [Moxo language, hasDialect, Trinitario Moxo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trinitario Moxo
Context triple: [Moxo language, hasDialect, Trinitario Moxo]
  • A. Trinitario-Moxo chosen
    Trinitario-Moxo is an Arawakan language spoken by the Trinitario people of Bolivia, particularly in the Beni region.
  • B. Batuque
    Batuque is an Afro-Brazilian religious tradition that blends West African (especially Yoruba) spiritual practices with elements of Catholicism and Indigenous beliefs, centered on the worship of orixás through music, dance, and ritual.
  • C. Forro
    Forro is a Portuguese-based creole language spoken primarily on the islands of São Tomé and Príncipe in the Gulf of Guinea.
  • D. Barra Bonita
    Barra Bonita is a municipality in the state of São Paulo, Brazil, known for its river tourism and historic lock system on the Tietê River.
  • E. Macaxeira
    Macaxeira is a neighborhood in the city of Recife, Brazil.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea791fec8190aee56ab4503770be completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1278b08190bab9f01287040492 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:56 p.m.