Triple

T14417206
Position Surface form Disambiguated ID Type / Status
Subject Northern Mozambique E357483 entity
Predicate languageSpoken P151 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: [Northern Mozambique, languageSpoken, Makua language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makua language
Context triple: [Northern Mozambique, languageSpoken, 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. Makasae language
    The Makasae language is a Papuan language spoken primarily in the eastern part of Timor-Leste by the Makasae people.
  • C. Marakwet language
    The Marakwet language is a Southern Nilotic language spoken by the Marakwet people of Kenya and is closely related to other Kalenjin languages such as Kipsigis.
  • D. Makira languages
    The Makira languages are a group of closely related Oceanic languages spoken primarily on Makira (San Cristobal) and nearby islands in the Solomon Islands.
  • E. Makushi language
    The Makushi language is an indigenous Cariban language spoken primarily by the Makushi people in northern Brazil and southern Guyana.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552bc32c81908a562732e3950442 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.