Triple

T16032047
Position Surface form Disambiguated ID Type / Status
Subject Opata E388869 entity
Predicate relatedLanguage P10003 FINISHED
Object Pima Bajo E339203 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: Pima Bajo | Statement: [Opata, relatedLanguage, Pima Bajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pima Bajo
Context triple: [Opata, relatedLanguage, Pima Bajo]
  • A. Pima Bajo chosen
    Pima Bajo are an Indigenous people of northern Mexico, culturally and linguistically related to the Pima of the U.S.–Mexico borderlands.
  • B. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Aguadulce
    Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
  • D. Aguadulce
    Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
  • E. Bolama
    Bolama is an island in Guinea-Bissau that was once the country’s capital and remains notable for its colonial-era architecture and historical significance.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183384d848190988be7e68770f6ba completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
Created at: April 10, 2026, 4:56 a.m.