Triple

T13978286
Position Surface form Disambiguated ID Type / Status
Subject Nkroful E336240 entity
Predicate hasLanguage P15 FINISHED
Object Nzema language E617295 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: Nzema language | Statement: [Nkroful, hasLanguage, Nzema language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nzema language
Context triple: [Nkroful, hasLanguage, Nzema language]
  • A. Nzema language chosen
    Nzema is a Central Tano (Potou–Tano) Niger-Congo language spoken primarily by the Nzema people of southwestern Ghana and southeastern Côte d’Ivoire.
  • B. Tembe language
    The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
  • C. Teke-Ngungwel language
    The Teke-Ngungwel language is a Bantu language spoken by the Teke people in Central Africa, particularly in parts of the Republic of the Congo and neighboring regions.
  • D. Nsenga language
    The Nsenga language is a Bantu language spoken primarily in Zambia and neighboring regions, closely related to other languages of the area such as Tumbuka and Chewa.
  • E. Masela language
    The Masela language is an Austronesian language spoken on Masela Island in Indonesia’s Maluku region, belonging to the Babar subgroup of Central–Eastern Malayo-Polynesian languages.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e9fc7248190a9f26e253286ac3c completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1e3cafc8190a1806a29b2e46ae9 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.