Triple

T20261530
Position Surface form Disambiguated ID Type / Status
Subject Svartisen glacier E498849 entity
Predicate hasPart P35 FINISHED
Object Vestre Svartisen
Vestre Svartisen is the western part of the Svartisen ice cap in northern Norway, known as one of the country’s largest and most accessible glacier areas.
 E1420164 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: Vestre Svartisen | Statement: [Svartisen glacier, hasPart, Vestre Svartisen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vestre Svartisen
Context triple: [Svartisen glacier, hasPart, Vestre Svartisen]
  • A. Vartdal
    Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
  • B. Torsbjørka
    Torsbjørka is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
  • C. Tinnsjå
    Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
  • D. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • E. Lysthaugen
    Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
  • 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: Vestre Svartisen
Triple: [Svartisen glacier, hasPart, Vestre Svartisen]
Generated description
Vestre Svartisen is the western part of the Svartisen ice cap in northern Norway, known as one of the country’s largest and most accessible glacier areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vestre Svartisen
Target entity description: Vestre Svartisen is the western part of the Svartisen ice cap in northern Norway, known as one of the country’s largest and most accessible glacier areas.
  • A. Vartdal
    Vartdal is a small village in Ørsta Municipality in Møre og Romsdal county, Norway, situated along the Vartdalsfjorden on the western coast.
  • B. Torsbjørka
    Torsbjørka is a lake located in the municipality of Meråker in Trøndelag county, central Norway.
  • C. Tinnsjå
    Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
  • D. Skogsvåg
    Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
  • E. Lysthaugen
    Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08552e62a08190af0bf7605bc6b6b7 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855ea027481908eebd5cff8ac97fb completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a08568fa1748190b4e2c21fc3ec0b63 completed May 16, 2026, 11:35 a.m.
Created at: April 11, 2026, 11:41 p.m.