Triple

T15360447
Position Surface form Disambiguated ID Type / Status
Subject Haram E367274 entity
Predicate containsIsland P970 FINISHED
Object Lepsøya
Lepsøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location near the entrance to the Storfjorden.
 E1312250 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: Lepsøya | Statement: [Haram, containsIsland, Lepsøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lepsøya
Context triple: [Haram, containsIsland, Lepsøya]
  • A. Hestøya
    Hestøya is an island located in the lake Norsjø in Telemark, Norway.
  • B. Skogsøya
    Skogsøya is an island in the Vesterålen archipelago in northern Norway, known for its rugged coastal landscape and traditional fishing communities.
  • C. Lindøya
    Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
  • D. Rebbenesøya
    Rebbenesøya is a coastal island in northern Norway, located in Troms county and known for its rugged landscapes, fishing communities, and Arctic maritime environment.
  • E. Ostøya
    Ostøya is a Norwegian island located in the municipality of Asker, known for its coastal scenery and residential and recreational areas in the Oslofjord.
  • 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: Lepsøya
Triple: [Haram, containsIsland, Lepsøya]
Generated description
Lepsøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location near the entrance to the Storfjorden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lepsøya
Target entity description: Lepsøya is an island in Møre og Romsdal county, Norway, known for its coastal scenery and location near the entrance to the Storfjorden.
  • A. Hestøya
    Hestøya is an island located in the lake Norsjø in Telemark, Norway.
  • B. Skogsøya
    Skogsøya is an island in the Vesterålen archipelago in northern Norway, known for its rugged coastal landscape and traditional fishing communities.
  • C. Lindøya
    Lindøya is a small, scenic island in the Oslofjord known for its colorful wooden cottages, car-free environment, and popularity as a summer retreat near Oslo.
  • D. Rebbenesøya
    Rebbenesøya is a coastal island in northern Norway, located in Troms county and known for its rugged landscapes, fishing communities, and Arctic maritime environment.
  • E. Ostøya
    Ostøya is a Norwegian island located in the municipality of Asker, known for its coastal scenery and residential and recreational areas in the Oslofjord.
  • 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_6a039ef5147081908c7cfce314e120b1 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fb57d608190a0310a4e2c83852a completed May 12, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a03a07a59f88190a7ddd5b612d1575a completed May 12, 2026, 9:49 p.m.
Created at: April 10, 2026, 3:18 a.m.