Triple

T6219431
Position Surface form Disambiguated ID Type / Status
Subject Makua languages E139072 entity
Predicate hasMember P10 FINISHED
Object Makhuwa-Moniga language E353073 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: Makhuwa-Moniga language | Statement: [Makua languages, hasMember, Makhuwa-Moniga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makhuwa-Moniga language
Context triple: [Makua languages, hasMember, Makhuwa-Moniga language]
  • A. Makhuwa languages chosen
    The Makhuwa languages are a group of closely related Bantu languages spoken primarily in northern Mozambique and neighboring regions of southeastern Africa.
  • B. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Mapudungun language
    Mapudungun is the indigenous language of the Mapuche people of south-central Chile and southwestern Argentina, belonging to the Araucanian language family and still spoken by a significant community today.
  • E. Tsonga language
    The Tsonga language is a Bantu language spoken primarily in southern Africa, especially in Mozambique, South Africa, Eswatini, and Zimbabwe.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bbb768819099402d367f124639 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d1171788190aa302b54d14e9a5d completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:21 p.m.