Triple

T19978833
Position Surface form Disambiguated ID Type / Status
Subject Gutar E493761 entity
Predicate traditionalLanguage P6149 FINISHED
Object Gutnish NE NERFINISHED

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: [Gutar, traditionalLanguage, Gutnish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutnish
Context triple: [Gutar, traditionalLanguage, 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. Gutlang
    Gutlang is a rural barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
  • C. Gillikins
    Gillikins are the purple-clad northern people of L. Frank Baum’s Land of Oz, known for inhabiting the Gillikin Country.
  • D. Unitedville
    Unitedville is a small village in western Belize known for its rural setting and proximity to major archaeological and natural attractions in the Cayo District.
  • E. Gerinish
    Gerinish is a small crofting settlement on South Uist in the Outer Hebrides of Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d11108481908241a2a96a795a7d completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.