Triple

T16342091
Position Surface form Disambiguated ID Type / Status
Subject Storfjorden E396830 entity
Predicate hasNearbyVillage P4647 FINISHED
Object Fjørå
Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
E1313713 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: Fjørå | Statement: [Storfjorden, hasNearbyVillage, Fjørå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fjørå
Context triple: [Storfjorden, hasNearbyVillage, Fjørå]
  • A. Solevåg
    Solevåg is a village in Sula Municipality in Møre og Romsdal county, Norway, known for its coastal setting near the town of Ålesund.
  • B. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • C. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Finnvollheia
    Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
  • 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: Fjørå
Triple: [Storfjorden, hasNearbyVillage, Fjørå]
Generated description
Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fjørå
Target entity description: Fjørå is a small Norwegian village situated along the inner reaches of a fjord in Møre og Romsdal county.
  • A. Solevåg
    Solevåg is a village in Sula Municipality in Møre og Romsdal county, Norway, known for its coastal setting near the town of Ålesund.
  • B. Fagernes
    Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
  • C. Sørenga
    Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
  • D. Fosnavåg
    Fosnavåg is a small coastal town in western Norway known for its maritime industries and scenic North Sea surroundings.
  • E. Finnvollheia
    Finnvollheia is a mountain that forms the highest point in the Fosen district of Trøndelag, Norway.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0ad510819082e440f5e2bceada completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac4feddc8190a96df02c61b8d7a4 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad0f18cc819093701d38846c595b completed May 12, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a03ada3d1708190a6c08197a1141cf1 completed May 12, 2026, 10:45 p.m.
Created at: April 10, 2026, 5:07 a.m.