Triple

T15243686
Position Surface form Disambiguated ID Type / Status
Subject Mo i Rana Station E364321 entity
Predicate servesRegion P82 FINISHED
Object Rana municipality E1145504 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: Rana municipality | Statement: [Mo i Rana Station, servesRegion, Rana municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana municipality
Context triple: [Mo i Rana Station, servesRegion, Rana municipality]
  • A. Rana municipality chosen
    Rana municipality is a local government area in Nordland county, Norway, known for its rugged landscapes, fjords, and the town of Mo i Rana.
  • B. Rana Municipality
    Rana Municipality is a local government area in Nordland county, Norway, encompassing the town of Mo i Rana and surrounding districts.
  • C. Vanylven Municipality
    Vanylven Municipality is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
  • D. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • E. Ringebu municipality
    Ringebu municipality is a local government area in Innlandet county, Norway, known for its historic stave church and scenic Gudbrandsdalen valley landscape.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6c25808190af46f4cab56f133c completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:13 a.m.