Triple

T13521497
Position Surface form Disambiguated ID Type / Status
Subject Kvæfjord E322907 entity
Predicate hasSettlement P1068 FINISHED
Object Straumen
Straumen is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway.
E1092099 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: Straumen | Statement: [Kvæfjord, hasSettlement, Straumen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Straumen
Context triple: [Kvæfjord, hasSettlement, Straumen]
  • A. Straumen
    Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
  • B. Strond
    Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
  • C. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • D. Sørvågen
    Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
  • E. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • 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: Straumen
Triple: [Kvæfjord, hasSettlement, Straumen]
Generated description
Straumen is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Straumen
Target entity description: Straumen is a small settlement in Kvæfjord Municipality in Troms og Finnmark county in northern Norway.
  • A. Straumen
    Straumen is a village in Trøndelag county, Norway, serving as the main local hub for services and administration in the Inderøy area.
  • B. Strond
    Strond is a small coastal village on the island of Borðoy in the Faroe Islands.
  • C. Sotra
    Sotra is a large, populated island off the west coast of Norway, known for its rugged coastline, fishing communities, and proximity to the city of Bergen.
  • D. Sørvågen
    Sørvågen is a small fishing village and tourist destination located on the island of Moskenesøya in Norway’s Lofoten archipelago.
  • E. Hadsel
    Hadsel is a coastal municipality in Nordland county, Norway, known for encompassing several islands in the Vesterålen archipelago, including parts of Hadseløya, Langøya, and Austvågøya.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
NEDg Description generation batch_69fd40d73d588190a85e2d58a2c37473 completed May 8, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69fd412812a08190ae113d4dd257d453 completed May 8, 2026, 1:49 a.m.
Created at: April 9, 2026, 9:44 p.m.