Triple

T7026001
Position Surface form Disambiguated ID Type / Status
Subject Tenkodogo E162947 entity
Predicate commonLanguages P237 FINISHED
Object Mooré E222528 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: Mooré | Statement: [Tenkodogo, commonLanguages, Mooré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mooré
Context triple: [Tenkodogo, commonLanguages, Mooré]
  • A. Mooré chosen
    Mooré is a major Gur language spoken primarily by the Mossi people of Burkina Faso and neighboring West African countries.
  • B. Moor Zogoiby
    Moor Zogoiby is a central character in Salman Rushdie’s novel "The Moor’s Last Sigh," a deformed, fast-talking Bombay-born narrator whose life and family saga reflect the tumultuous history and cultural hybridity of modern India.
  • C. Mundemba
    Mundemba is a town in southwestern Cameroon known as a gateway to the biodiverse Korup National Park.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1fd6ab48190865271e16e8ff669 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c77588285481909799a2bb76921b9a completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.