Triple

T15077117
Position Surface form Disambiguated ID Type / Status
Subject Sotra Bridge E380032 entity
Predicate locatedNear P294 FINISHED
Object Drotningsvik
Drotningsvik is a coastal neighborhood in the western part of Bergen, Norway, situated along the main route connecting the city to the island of Sotra.
E1144718 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: Drotningsvik | Statement: [Sotra Bridge, locatedNear, Drotningsvik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drotningsvik
Context triple: [Sotra Bridge, locatedNear, Drotningsvik]
  • A. Vikersund
    Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
  • B. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • C. Drøbak
    Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • D. Köpingsvik
    Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
  • E. Brunnsviken
    Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • 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: Drotningsvik
Triple: [Sotra Bridge, locatedNear, Drotningsvik]
Generated description
Drotningsvik is a coastal neighborhood in the western part of Bergen, Norway, situated along the main route connecting the city to the island of Sotra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Drotningsvik
Target entity description: Drotningsvik is a coastal neighborhood in the western part of Bergen, Norway, situated along the main route connecting the city to the island of Sotra.
  • A. Vikersund
    Vikersund is a village in Modum municipality in Buskerud, Norway, best known for hosting one of the world’s largest ski flying hills, Vikersundbakken.
  • B. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • C. Drøbak
    Drøbak is a coastal town in southeastern Norway known for its historic harbor, charming wooden houses, and role as a gateway to the Oslofjord.
  • D. Köpingsvik
    Köpingsvik is a coastal village and popular holiday resort on the Swedish island of Öland, known for its sandy beaches and historic church.
  • E. Brunnsviken
    Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • 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_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_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedea1fea88190b891485794acfa8d completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedf2b52348190bd8fc6999cb0abd7 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:03 a.m.