Triple

T15216897
Position Surface form Disambiguated ID Type / Status
Subject Kaupanger E363658 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Sogndalsfjøra
Sogndalsfjøra is a village in Vestland county, Norway, serving as the administrative centre of Sogndal Municipality and a local hub along the Sognefjorden.
 E1143527 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: Sogndalsfjøra | Statement: [Kaupanger, hasNearbySettlement, Sogndalsfjøra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sogndalsfjøra
Context triple: [Kaupanger, hasNearbySettlement, Sogndalsfjøra]
  • A. Glåma
    Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
  • B. Verdalsøra
    Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
  • C. Dale i Sunnfjord
    Dale i Sunnfjord is a village in Vestland county, Norway, known as the main settlement and service hub of the Fjaler municipality.
  • D. Gryllefjord
    Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
  • E. Kløfta
    Kløfta is a village in Ullensaker municipality in Viken county, Norway, known as a residential and transport hub northeast of Oslo.
  • 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: Sogndalsfjøra
Triple: [Kaupanger, hasNearbySettlement, Sogndalsfjøra]
Generated description
Sogndalsfjøra is a village in Vestland county, Norway, serving as the administrative centre of Sogndal Municipality and a local hub along the Sognefjorden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sogndalsfjøra
Target entity description: Sogndalsfjøra is a village in Vestland county, Norway, serving as the administrative centre of Sogndal Municipality and a local hub along the Sognefjorden.
  • A. Glåma
    Glåma is the longest and largest river in Norway, flowing through eastern parts of the country before emptying into the Oslofjord.
  • B. Verdalsøra
    Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
  • C. Dale i Sunnfjord
    Dale i Sunnfjord is a village in Vestland county, Norway, known as the main settlement and service hub of the Fjaler municipality.
  • D. Gryllefjord
    Gryllefjord is a small coastal fishing village located on the island of Senja in northern Norway.
  • E. Kløfta
    Kløfta is a village in Ullensaker municipality in Viken county, Norway, known as a residential and transport hub northeast of Oslo.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed44b2e3c8190aad111e2bc2b56a2 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed547192c8190b89755fff48ca620 completed May 9, 2026, 6:33 a.m.
Created at: April 10, 2026, 3:11 a.m.