Triple

T18339541
Position Surface form Disambiguated ID Type / Status
Subject Harstad municipality E439363 entity
Predicate hasSettlement P1068 FINISHED
Object Grytøy
Grytøy is a small settlement located within Harstad municipality in Troms og Finnmark county in northern Norway.
E1411363 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: Grytøy | Statement: [Harstad municipality, hasSettlement, Grytøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grytøy
Context triple: [Harstad municipality, hasSettlement, Grytøy]
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Dillingøy
    Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
  • C. Gimsøy
    Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
  • D. Kirkøy
    Kirkøy is the main inhabited island and administrative center of Norway’s Hvaler municipality, known for its coastal scenery and role as a hub in the Hvaler archipelago.
  • E. Varaldsøy
    Varaldsøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and rural communities within the municipality of Kvinnherad.
  • 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: Grytøy
Triple: [Harstad municipality, hasSettlement, Grytøy]
Generated description
Grytøy is a small settlement located within Harstad municipality in Troms og Finnmark county in northern Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grytøy
Target entity description: Grytøy is a small settlement located within Harstad municipality in Troms og Finnmark county in northern Norway.
  • A. Lauvøy
    Lauvøy is an island that forms part of the Finnøy area in Norway, known for its coastal landscape and maritime surroundings.
  • B. Dillingøy
    Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
  • C. Gimsøy
    Gimsøy is a small coastal village in Norway’s Lofoten archipelago, known for its scenic landscapes and traditional fishing heritage.
  • D. Kirkøy
    Kirkøy is the main inhabited island and administrative center of Norway’s Hvaler municipality, known for its coastal scenery and role as a hub in the Hvaler archipelago.
  • E. Varaldsøy
    Varaldsøy is a large island in Vestland county, Norway, known for its scenic fjord landscape and rural communities within the municipality of Kvinnherad.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0826eddda88190bb494d4ebed085ac completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a0828f7ea4c81909bd87b4772096d29 completed May 16, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0829c935708190978ed4e447c12585 completed May 16, 2026, 8:24 a.m.
Created at: April 10, 2026, 10:37 a.m.