Triple

T15216918
Position Surface form Disambiguated ID Type / Status
Subject Lærdalsøyri E363659 entity
Predicate locatedIn P40 FINISHED
Object Sogn district E363655 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: Sogn district | Statement: [Lærdalsøyri, locatedIn, Sogn district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sogn district
Context triple: [Lærdalsøyri, locatedIn, Sogn district]
  • A. Sogn region chosen
    The Sogn region is a traditional district in western Norway known for its dramatic fjord landscapes, including the famous Sognefjord, and its rich cultural and historical heritage.
  • B. Vejle County
    Vejle County was a former administrative county in central Jutland, Denmark, that existed until the 2007 municipal reform reorganized it into larger regional units.
  • C. Hammershus Sogn
    Hammershus Sogn is a parish in Denmark that encompasses the historic medieval fortress of Hammershus on the island of Bornholm.
  • D. Viborg County
    Viborg County was a former administrative county in central Jutland, Denmark, that existed until the 2007 municipal reform reorganized it into larger regional units.
  • E. Ringkjøbing County
    Ringkjøbing County was a former administrative county in western Jutland, Denmark, that existed until the 2007 municipal reform reorganized the country’s regional structure.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.