Triple

T38488383
Position Surface form Disambiguated ID Type / Status
Subject Buli E917982 entity
Predicate hasNativeSpeakersRegion P5231 FINISHED
Object Builsa traditional area
The Builsa traditional area is a culturally distinct region in northern Ghana inhabited primarily by the Builsa people, known for their rich customs, festivals, and Buli language.
 E2270666 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: Builsa traditional area | Statement: [Buli, hasNativeSpeakersRegion, Builsa traditional area]
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: Builsa traditional area
Triple: [Buli, hasNativeSpeakersRegion, Builsa traditional area]
Generated description
The Builsa traditional area is a culturally distinct region in northern Ghana inhabited primarily by the Builsa people, known for their rich customs, festivals, and Buli language.

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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd23d627481908bfceb4dcf2634ef completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41ccc841f48190b41e8ae652e37d92 completed June 29, 2026, 1:39 a.m.
NEDg Description generation batch_6a41cd65478c8190a2e6b48d8a84a1e4 completed June 29, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a41cdf9018c81909d40e3ca43781047 completed June 29, 2026, 1:44 a.m.
Created at: May 3, 2026, 4:31 p.m.