Triple

T3542720
Position Surface form Disambiguated ID Type / Status
Subject Ålesund E74923 entity
Predicate region P40 FINISHED
Object Sunnmøre
Sunnmøre is a coastal district in western Norway known for its dramatic fjords, islands, and the fishing and maritime industries centered around towns like Ålesund.
E367264 NE FINISHED

How this triple was built (4 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 | Statement: [Ålesund, region, Sunnmøre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunnmøre
Context triple: [Ålesund, region, Sunnmøre]
  • A. Ryfylke
    Ryfylke is a traditional district in southwestern Norway known for its fjords, islands, and mountainous coastal landscape in Rogaland county.
  • B. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • C. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • D. Røst
    Røst is a small, remote island and fishing community in northern Norway, known for its dramatic coastal scenery, rich seabird colonies, and traditional cod fisheries.
  • E. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sunnmøre
Triple: [Ålesund, region, Sunnmøre]
Generated description
Sunnmøre is a coastal district in western Norway known for its dramatic fjords, islands, and the fishing and maritime industries centered around towns like Ålesund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sunnmøre
Target entity description: Sunnmøre is a coastal district in western Norway known for its dramatic fjords, islands, and the fishing and maritime industries centered around towns like Ålesund.
  • A. Ryfylke
    Ryfylke is a traditional district in southwestern Norway known for its fjords, islands, and mountainous coastal landscape in Rogaland county.
  • B. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • C. Verdal
    Verdal is a municipality in central Norway known for its agricultural landscape, industrial activity, and the historic battlefield of Stiklestad.
  • D. Røst
    Røst is a small, remote island and fishing community in northern Norway, known for its dramatic coastal scenery, rich seabird colonies, and traditional cod fisheries.
  • E. Hallingdal
    Hallingdal is a major valley and traditional district in southeastern Norway, known for its river, ski resorts, and rich folk culture.
  • F. None of above. chosen

Provenance (5 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf73c5e881909a8352512928377b completed March 8, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38cb6a2188190b68f4903144a0e51 completed March 13, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_69b39062a10c8190bc227c02cf4f3ab1 completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.