Triple

T15445015
Position Surface form Disambiguated ID Type / Status
Subject Port of Mo i Rana E370000 entity
Predicate locatedIn P40 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: [Port of Mo i Rana, locatedIn, Rana municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rana municipality
Context triple: [Port of Mo i Rana, locatedIn, 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf9eae881909b5dc74c55a04ff0 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.