Triple

T2945482
Position Surface form Disambiguated ID Type / Status
Subject Lofoten E79490 entity
Predicate hasIsland P970 FINISHED
Object Moskenesøya
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
 E319755 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: Moskenesøya | Statement: [Lofoten, hasIsland, Moskenesøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moskenesøya
Context triple: [Lofoten, hasIsland, Moskenesøya]
  • A. Flakstadøya
    Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
  • B. Bleikøya
    Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
  • C. Edgeøya
    Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
  • D. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • E. Kvitøya
    Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
  • 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: Moskenesøya
Triple: [Lofoten, hasIsland, Moskenesøya]
Generated description
Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moskenesøya
Target entity description: Moskenesøya is a rugged island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and scenic coastal landscapes.
  • A. Flakstadøya
    Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
  • B. Bleikøya
    Bleikøya is a small island in the inner Oslofjord near Oslo, Norway, known for its recreational areas and scenic coastal landscape.
  • C. Edgeøya
    Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
  • D. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • E. Kvitøya
    Kvitøya is a remote, mostly ice-covered island in the far northeastern part of the Svalbard archipelago in the Arctic Ocean.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
NEDg Description generation batch_69b1defb7b1881908cdca96e0e7fd75c completed March 11, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69b1df8705fc8190827d1d131a6f274a completed March 11, 2026, 9:32 p.m.
Created at: March 8, 2026, 2:56 p.m.