Triple

T6446492
Position Surface form Disambiguated ID Type / Status
Subject Makua group E138355 entity
Predicate hasLanguage P15 FINISHED
Object Makua language E139072 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: Makua language | Statement: [Makua group, hasLanguage, Makua language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makua language
Context triple: [Makua group, hasLanguage, Makua language]
  • A. Makua languages chosen
    The Makua languages are a group of closely related Bantu languages spoken primarily in northern Mozambique and neighboring regions of southeastern Africa.
  • B. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • C. Makah language
    The Makah language is a critically endangered Southern Wakashan language traditionally spoken by the Makah people of the northwestern Olympic Peninsula in Washington State, USA.
  • D. Lango language
    Lango is a Western Nilotic language spoken primarily by the Lango people of northern Uganda, closely related to other Luo languages.
  • E. Tontemboan language
    The Tontemboan language is an Austronesian language spoken by the Tontemboan people of North Sulawesi, Indonesia, and is one of the traditional Minahasan languages of the region.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.