Triple

T7026000
Position Surface form Disambiguated ID Type / Status
Subject Tenkodogo E162947 entity
Predicate commonLanguages P237 FINISHED
Object Gourmanchéma
Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
 E636036 NE FINISHED

How this triple was built (4 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: Gourmanchéma | Statement: [Tenkodogo, commonLanguages, Gourmanchéma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gourmanchéma
Context triple: [Tenkodogo, commonLanguages, Gourmanchéma]
  • A. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Chabreloche
    Chabreloche is a small commune in central France’s Puy-de-Dôme department, known for its location in the mountainous Auvergne region.
  • D. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • E. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gourmanchéma
Triple: [Tenkodogo, commonLanguages, Gourmanchéma]
Generated description
Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gourmanchéma
Target entity description: Gourmanchéma is a Gur language spoken primarily in parts of Burkina Faso and neighboring West African countries.
  • A. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Chabreloche
    Chabreloche is a small commune in central France’s Puy-de-Dôme department, known for its location in the mountainous Auvergne region.
  • D. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • E. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c777902cbc8190b24ee5e441c5607e completed March 28, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69c77807d33c8190bb3e236829f06071 completed March 28, 2026, 6:41 a.m.
Created at: March 27, 2026, 2:35 p.m.