Triple

T34752159
Position Surface form Disambiguated ID Type / Status
Subject Chakosi E1001811 entity
Predicate isSpokenPrimarilyBy P11430 FINISHED
Object Chakosi (Anufo) people
The Chakosi (Anufo) people are an ethnic group of West Africa, primarily found in parts of Ghana, Togo, and Benin, known for their distinct language, cultural traditions, and historical involvement in regional trade and warfare.
E2210045 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: Chakosi (Anufo) people | Statement: [Chakosi, isSpokenPrimarilyBy, Chakosi (Anufo) people]
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: Chakosi (Anufo) people
Triple: [Chakosi, isSpokenPrimarilyBy, Chakosi (Anufo) people]
Generated description
The Chakosi (Anufo) people are an ethnic group of West Africa, primarily found in parts of Ghana, Togo, and Benin, known for their distinct language, cultural traditions, and historical involvement in regional trade and warfare.

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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779ebb75c8190b95c0e24356368db completed May 3, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c1390c4819084f740a29c6a156c completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e94bce86c8190b025e79699e31e7e completed June 26, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9e99bdf081909934fab6490220d7 completed June 26, 2026, 3:45 p.m.
Created at: May 3, 2026, 3:59 p.m.