Triple

T14377050
Position Surface form Disambiguated ID Type / Status
Subject Fårö Gutnish E356501 entity
Predicate languageBranch P1967 FINISHED
Object Gutnish 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 | Statement: [Fårö Gutnish, languageBranch, Gutnish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutnish
Context triple: [Fårö Gutnish, languageBranch, Gutnish]
  • 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. Gillikins
    Gillikins are the purple-clad northern people of L. Frank Baum’s Land of Oz, known for inhabiting the Gillikin Country.
  • C. Gerinish
    Gerinish is a small crofting settlement on South Uist in the Outer Hebrides of Scotland.
  • D. Thneedville
    Thneedville is the brightly colored, artificial city in the 2012 animated film "The Lorax," where residents live surrounded by plastic and metal with no real trees or nature.
  • E. Underdale
    Underdale is a residential suburb in Adelaide, South Australia, known for its proximity to the River Torrens and its mix of older homes and newer developments.
  • 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_69fd648135188190af86b1b2be2fe0e0 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:16 a.m.