Triple

T35266810
Position Surface form Disambiguated ID Type / Status
Subject Konkomba people E1018539 entity
Predicate alternativeName P39 FINISHED
Object Likpakpaln people
The Likpakpaln people, also known as the Konkomba, are an ethnic group primarily found in northern Ghana and neighboring Togo, recognized for their distinct Gur language and agrarian culture.
E2296503 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: Likpakpaln people | Statement: [Konkomba people, alternativeName, Likpakpaln 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: Likpakpaln people
Triple: [Konkomba people, alternativeName, Likpakpaln people]
Generated description
The Likpakpaln people, also known as the Konkomba, are an ethnic group primarily found in northern Ghana and neighboring Togo, recognized for their distinct Gur language and agrarian culture.

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_69f76de4be5c8190a51705c07612cac8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f9b0e088190b1a338734e6d64e1 completed May 3, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a827fddeb9c81909a9cb3c1eb883905 completed Aug. 17, 2026, 3:28 a.m.
NEDg Description generation batch_6a8280c64ee08190b34ba46fcbb1aaf8 completed Aug. 17, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a8281189d588190852fee80a5b8904d completed Aug. 17, 2026, 3:33 a.m.
Created at: May 3, 2026, 4:02 p.m.