Triple

T10490020
Position Surface form Disambiguated ID Type / Status
Subject For language E247391 entity
Predicate alternativeName P39 FINISHED
Object Fur language E49227 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: Fur language | Statement: [For language, alternativeName, Fur language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fur language
Context triple: [For language, alternativeName, Fur language]
  • A. Fur language chosen
    The Fur language is an Eastern Sudanic language spoken primarily by the Fur people of western Sudan, especially in the Darfur region.
  • B. Fur
    Fur is a Nilo-Saharan language spoken primarily by the Fur people of western Sudan’s Darfur region.
  • C. Fur
    Fur is a small Danish island in the Limfjord, renowned for its dramatic cliffs, fossil-rich moler clay deposits, and scenic coastal landscapes.
  • D. Fox language
    Fox language is a Native American Algonquian language traditionally spoken by the Meskwaki (Fox), Sauk, and Kickapoo peoples of the central United States.
  • E. Sac and Fox language
    The Sac and Fox language is an Algonquian Native American language traditionally spoken by the Sauk and Meskwaki (Fox) peoples of the central United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b31de8c8190996df69ae02278f8 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:23 p.m.