Triple

T36065529
Position Surface form Disambiguated ID Type / Status
Subject Uduk people E1043214 entity
Predicate hasAlternativeName P39 FINISHED
Object Kwanim Pa people
The Kwanim Pa people, also known as the Uduk, are an indigenous ethnic group from the border region of eastern Sudan and western Ethiopia, noted for their distinct language and cultural traditions.
E2296604 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: Kwanim Pa people | Statement: [Uduk people, hasAlternativeName, Kwanim Pa 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: Kwanim Pa people
Triple: [Uduk people, hasAlternativeName, Kwanim Pa people]
Generated description
The Kwanim Pa people, also known as the Uduk, are an indigenous ethnic group from the border region of eastern Sudan and western Ethiopia, noted for their distinct language and cultural traditions.

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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b216d4e4819083d540bf262c0aee completed May 3, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a82923dfd688190b1b200dcfc8043e2 completed Aug. 17, 2026, 4:46 a.m.
NEDg Description generation batch_6a829294c96c8190ac72e0d3b0399e61 completed Aug. 17, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_6a8292e753d881909a0b4ddee5542515 completed Aug. 17, 2026, 4:49 a.m.
Created at: May 3, 2026, 4:08 p.m.