Triple

T31594819
Position Surface form Disambiguated ID Type / Status
Subject Wolane language E806192 entity
Predicate spokenBy P2181 FINISHED
Object Wolane people
The Wolane people are an ethnic group of Ethiopia known for their distinct cultural traditions and use of the Wolane language within the broader Cushitic-speaking communities.
E2293077 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: Wolane people | Statement: [Wolane language, spokenBy, Wolane 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: Wolane people
Triple: [Wolane language, spokenBy, Wolane people]
Generated description
The Wolane people are an ethnic group of Ethiopia known for their distinct cultural traditions and use of the Wolane language within the broader Cushitic-speaking communities.

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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a83460188190a201e67b786198a4 completed May 3, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7a63ef02e88190b6a1ba52661329b1 completed Aug. 10, 2026, 11:51 p.m.
NEDg Description generation batch_6a7a6442c9c08190aba9baed49f6ce39 completed Aug. 10, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_6a7a647f00b88190af89bcffdb278516 completed Aug. 10, 2026, 11:53 p.m.
Created at: April 30, 2026, 10:30 p.m.