Triple

T25880510
Position Surface form Disambiguated ID Type / Status
Subject Western Northern Sami E652033 entity
Predicate hasDialectalRelationWith P10003 FINISHED
Object Central Northern Sami
Central Northern Sami is a regional variety of the Northern Sami language spoken in the central parts of the Northern Sami-speaking area.
E1707803 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: Central Northern Sami | Statement: [Western Northern Sami, hasDialectalRelationWith, Central Northern Sami]
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: Central Northern Sami
Triple: [Western Northern Sami, hasDialectalRelationWith, Central Northern Sami]
Generated description
Central Northern Sami is a regional variety of the Northern Sami language spoken in the central parts of the Northern Sami-speaking area.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6033e7ea4819097fd0c5f651b7a40 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111af760788190a7a4eaacde117228 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111d376ea081909475d8db98a66f3b completed May 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_6a111dab6a38819095dcc72b1c1b928b completed May 23, 2026, 3:23 a.m.
Created at: April 22, 2026, 8:16 a.m.