Triple

T14377025
Position Surface form Disambiguated ID Type / Status
Subject Fårö E356500 entity
Predicate hasLanguageVariant P2303 FINISHED
Object Gutnish dialect E72575 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: Gutnish dialect | Statement: [Fårö, hasLanguageVariant, Gutnish dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutnish dialect
Context triple: [Fårö, hasLanguageVariant, Gutnish dialect]
  • A. Gutnish chosen
    Gutnish is a North Germanic language variety spoken on the Swedish island of Gotland, distinct from standard Swedish and descended from the medieval language Old Gutnish.
  • B. Deogrom dialect
    The Deogrom dialect is a regional variety of the Prasuni language spoken by a specific community in the Deogrom area.
  • C. Scharrel dialect
    The Scharrel dialect is a local variety of Saterland Frisian spoken in and around the village of Scharrel in Lower Saxony, Germany.
  • D. Tlaisun dialect
    The Tlaisun dialect is a regional variety of the Falam Chin language spoken by the Tlaisun community in parts of Chin State, Myanmar.
  • E. Yoron dialect
    The Yoron dialect is a regional variety of the Amami language spoken on Yoron Island in Japan’s Ryukyu archipelago, characterized by distinct phonological and lexical features within the Northern Ryukyuan language group.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.