Triple

T15360232
Position Surface form Disambiguated ID Type / Status
Subject Giske E367269 entity
Predicate hasIsland P970 FINISHED
Object Giske (island)
Giske (island) is a small, low-lying island in Møre og Romsdal county, Norway, known for its historic stone church and role in Viking-era history.
E1153636 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: Giske (island) | Statement: [Giske, hasIsland, Giske (island)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giske (island)
Context triple: [Giske, hasIsland, Giske (island)]
  • A. Hisingen island
    Hisingen island is Sweden’s fifth-largest island, located in Gothenburg and known as a major urban and industrial area within the city.
  • B. Helgøya
    Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
  • C. Eigerøy island
    Eigerøy island is a coastal island in southwestern Norway known for its rugged landscape, fishing communities, and proximity to the town of Egersund.
  • D. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • E. Bleikøya
    Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
  • 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: Giske (island)
Triple: [Giske, hasIsland, Giske (island)]
Generated description
Giske (island) is a small, low-lying island in Møre og Romsdal county, Norway, known for its historic stone church and role in Viking-era history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giske (island)
Target entity description: Giske (island) is a small, low-lying island in Møre og Romsdal county, Norway, known for its historic stone church and role in Viking-era history.
  • A. Hisingen island
    Hisingen island is Sweden’s fifth-largest island, located in Gothenburg and known as a major urban and industrial area within the city.
  • B. Helgøya
    Helgøya is the largest freshwater island in Norway, located in Lake Mjøsa and known for its agricultural landscape and historic farms.
  • C. Eigerøy island
    Eigerøy island is a coastal island in southwestern Norway known for its rugged landscape, fishing communities, and proximity to the town of Egersund.
  • D. Rolvsøy island
    Rolvsøy island is a Norwegian island in Østfold county known for its residential communities and proximity to the city of Fredrikstad.
  • E. Bleikøya
    Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4a181c8190bffc1ac1a86e215d completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0f82441c81909a8ae13817fd3e96 completed May 9, 2026, 10:42 a.m.
NED2 Entity disambiguation (via description) batch_69ff0fd586708190a54b33efd27d84b2 completed May 9, 2026, 10:43 a.m.
Created at: April 10, 2026, 3:18 a.m.