Triple

T10860757
Position Surface form Disambiguated ID Type / Status
Subject Bouaké E256394 entity
Predicate languageCommonlySpoken P2266 FINISHED
Object Baoulé
Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
E891232 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: Baoulé | Statement: [Bouaké, languageCommonlySpoken, Baoulé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baoulé
Context triple: [Bouaké, languageCommonlySpoken, Baoulé]
  • A. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • B. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • C. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • D. Fougamou
    Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
  • E. Batouri
    Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
  • 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: Baoulé
Triple: [Bouaké, languageCommonlySpoken, Baoulé]
Generated description
Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baoulé
Target entity description: Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • A. Duékoué
    Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
  • B. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • C. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • D. Fougamou
    Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
  • E. Batouri
    Batouri is a town in eastern Cameroon that serves as an important local administrative and commercial center near the border with the Central African Republic.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.