Triple

T24467802
Position Surface form Disambiguated ID Type / Status
Subject South Sami E617017 entity
Predicate spokenBy P2181 FINISHED
Object Southern Sami people
The Southern Sami people are an Indigenous Sami group of central Norway and Sweden, traditionally engaged in reindeer herding and known for their distinct South Sami language and culture.
E1638377 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: Southern Sami people | Statement: [South Sami, spokenBy, Southern Sami 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: Southern Sami people
Triple: [South Sami, spokenBy, Southern Sami people]
Generated description
The Southern Sami people are an Indigenous Sami group of central Norway and Sweden, traditionally engaged in reindeer herding and known for their distinct South Sami language and 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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299403a8c819095e31aa2dace6921 completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee74097c8190a96d398a164e7c76 completed May 22, 2026, 5:49 a.m.
NEDg Description generation batch_6a0fefd6c4788190b1eb0548ae7e9184 completed May 22, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff0cecaf48190951f21afea7a103c completed May 22, 2026, 5:59 a.m.
Created at: April 18, 2026, 2:20 a.m.