Triple

T14523523
Position Surface form Disambiguated ID Type / Status
Subject Mongu E340711 entity
Predicate localLanguage P1252 FINISHED
Object Lozi language E570282 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: Lozi language | Statement: [Mongu, localLanguage, Lozi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lozi language
Context triple: [Mongu, localLanguage, Lozi language]
  • A. Lozi language chosen
    The Lozi language is a Bantu language spoken primarily in western Zambia and surrounding regions, serving as the main language of the Lozi people and a lingua franca in parts of south-central Africa.
  • B. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • C. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • D. Nomatsiguenga language
    The Nomatsiguenga language is an Arawakan language spoken by the Nomatsiguenga people of Peru’s Amazon rainforest, closely associated with the broader Asháninka linguistic and cultural group.
  • E. Loko language
    Loko language is a Southern Atlantic language spoken primarily by the Loko people in Sierra Leone.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a50324481909713bbf68295e839 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.