Triple

T9259208
Position Surface form Disambiguated ID Type / Status
Subject Mooré E222528 entity
Predicate alternativeName P39 FINISHED
Object Mossi language E267636 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: Mossi language | Statement: [Mooré, alternativeName, Mossi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mossi language
Context triple: [Mooré, alternativeName, Mossi language]
  • A. Mossi language chosen
    The Mossi language is a major Gur language spoken primarily in Burkina Faso, serving as a key lingua franca and the mother tongue of the Mossi people.
  • B. Moghamo language
    The Moghamo language is a Bantu-related Grassfields language spoken by the Moghamo people in the Northwest Region of Cameroon.
  • C. Manguissa language
    The Manguissa language is a Bantu language spoken by the Manguissa people of Cameroon, closely related to and geographically adjacent to Ewondo.
  • D. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • E. Nyagbo language
    The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0714317481908405f857a4f49e74 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bf225608190ade085302946dd8f completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.