Triple

T15352836
Position Surface form Disambiguated ID Type / Status
Subject Hadsel Bridge E367095 entity
Predicate region P40 FINISHED
Object Northern Norway E17350 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: Northern Norway | Statement: [Hadsel Bridge, region, Northern Norway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Norway
Context triple: [Hadsel Bridge, region, Northern Norway]
  • A. Northern Norway chosen
    Northern Norway is the sparsely populated, Arctic-influenced northern region of Norway known for its dramatic coastal landscapes, midnight sun, and frequent displays of the Northern Lights.
  • B. Eastern Norway
    Eastern Norway is a major geographical and administrative region of Norway that includes the capital city Oslo and encompasses the country’s most populous and economically significant areas.
  • C. Southern Norway
    Southern Norway is a geographical and cultural region encompassing the southernmost part of Norway, known for its mild coastal climate, fjords, and popular holiday towns.
  • D. Western Norway
    Western Norway is a coastal region of Norway known for its dramatic fjords, mountainous landscapes, and important port cities such as Bergen and Stavanger.
  • E. Nordlandet
    Nordlandet is one of the main islands and districts of the coastal Norwegian city of Kristiansund.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b37e4388190b748e884b3ba7568 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.