Triple

T15077062
Position Surface form Disambiguated ID Type / Status
Subject Sund municipality E380031 entity
Predicate borderedBy P224 FINISHED
Object Bergen municipality (by sea) E74082 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: Bergen municipality (by sea) | Statement: [Sund municipality, borderedBy, Bergen municipality (by sea)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bergen municipality (by sea)
Context triple: [Sund municipality, borderedBy, Bergen municipality (by sea)]
  • A. Bjørnafjorden Municipality
    Bjørnafjorden Municipality is a local government area in western Norway known for its coastal landscape along the Bjørnafjorden and its proximity to the city of Bergen.
  • B. Melbu harbor
    Melbu harbor is a coastal port and ferry terminal village in Hadsel Municipality in Nordland county, Norway, serving as a local hub for maritime transport and fishing.
  • C. Bergen
    Bergen is a city in western Germany, historically notable as the site of the 1759 Battle of Bergen during the Seven Years' War.
  • D. Bergen chosen
    Bergen is Norway's second-largest city, renowned for its historic harbor, surrounding mountains and fjords, and role as a former Hanseatic trading hub.
  • E. Bergens
    The Bergens are a race of gloomy, troll-eating creatures who serve as the primary villains in the animated film "Trolls."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d2765481908f101bef483ed02f completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:03 a.m.