Triple

T6576432
Position Surface form Disambiguated ID Type / Status
Subject Djenné Chiini language E155574 entity
Predicate closelyRelatedTo P37 FINISHED
Object Humburi Senni language E155572 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: Humburi Senni language | Statement: [Djenné Chiini language, closelyRelatedTo, Humburi Senni language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humburi Senni language
Context triple: [Djenné Chiini language, closelyRelatedTo, Humburi Senni language]
  • A. Humburi Senni language chosen
    The Humburi Senni language is a Songhay language variety spoken primarily in parts of Mali and neighboring regions of West Africa.
  • B. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • C. Chambeali language
    Chambeali is an Indo-Aryan language spoken in the Chamba region of Himachal Pradesh in northern India.
  • D. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • E. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.