Triple

T2233533
Position Surface form Disambiguated ID Type / Status
Subject Maban languages E49225 entity
Predicate hasAlternativeName P39 FINISHED
Object Maba languages E49225 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: Maba languages | Statement: [Maban languages, hasAlternativeName, Maba languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maba languages
Context triple: [Maban languages, hasAlternativeName, Maba languages]
  • A. Maban languages chosen
    Maban languages are a small group of closely related Nilo-Saharan languages spoken primarily in eastern Chad and western Sudan.
  • B. Maba language
    The Maba language is an Afro-Asiatic language spoken primarily by the Maba people in eastern Chad and neighboring regions.
  • C. Mamfe languages
    The Mamfe languages are a small group of closely related Niger-Congo languages spoken primarily in the Mamfe region of southwestern Cameroon.
  • D. Muna–Buton languages
    The Muna–Buton languages are a subgroup of Austronesian languages spoken primarily in southeastern Sulawesi and nearby islands in Indonesia.
  • E. Kurumba languages
    The Kurumba languages are a group of closely related Dravidian tribal languages spoken primarily by the Kurumba people in parts of southern India, especially in the Nilgiri and surrounding hill regions.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ba743081908e2697374e710681 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.