Triple

T20220606
Position Surface form Disambiguated ID Type / Status
Subject Vanylven E495241 entity
Predicate hasDemonym P191 FINISHED
Object Vanylving 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: Vanylving | Statement: [Vanylven, hasDemonym, Vanylving]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanylving
Context triple: [Vanylven, hasDemonym, Vanylving]
  • A. Vanylven chosen
    Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • B. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • C. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • D. Valkarkay
    Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
  • E. Vangteh
    Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66edc88148190b003b72eb4c69da5 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.