Triple

T15360484
Position Surface form Disambiguated ID Type / Status
Subject Geiranger E367275 entity
Predicate locatedIn P40 FINISHED
Object Sunnmøre district E664598 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: Sunnmøre district | Statement: [Geiranger, locatedIn, Sunnmøre district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnmøre district
Context triple: [Geiranger, locatedIn, Sunnmøre district]
  • A. Sunnmøre district chosen
    Sunnmøre district is a coastal region in the southwestern part of Møre og Romsdal county in Norway, known for its fjords, islands, and maritime communities.
  • B. Ryfylke district
    Ryfylke district is a traditional region in Rogaland county, southwestern Norway, known for its fjords, mountains, and scattered rural communities.
  • C. Ringerike district
    Ringerike district is a historic region in southeastern Norway known for its cultural heritage, distinctive landscape, and early medieval significance.
  • D. Hardanger district
    Hardanger district is a scenic region in western Norway known for its dramatic fjords, fruit orchards, and traditional cultural heritage.
  • E. Hadeland district
    Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007757ed48190813f6ab839240a15 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 3:18 a.m.