Triple

T23257239
Position Surface form Disambiguated ID Type / Status
Subject Kenema District E581905 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Mende language NE NERFINISHED

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: Mende language | Statement: [Kenema District, hasLocalLanguage, Mende language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mende language
Context triple: [Kenema District, hasLocalLanguage, Mende language]
  • A. Mende language chosen
    The Mende language is a major Niger–Congo language spoken primarily in Sierra Leone by the Mende people and used in regional trade, culture, and education.
  • B. Mandeali language
    Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • C. Mendi languages
    The Mendi languages are a small group of closely related Papuan languages spoken primarily in the Southern Highlands Province of Papua New Guinea.
  • D. Mendriq language
    The Mendriq language is an indigenous Aslian (Austroasiatic) language spoken by a small Orang Asli community in Peninsular Malaysia.
  • E. Mandar language
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c5f5bc8190ac8776f7f7430209 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.