Triple

T15302171
Position Surface form Disambiguated ID Type / Status
Subject Stavanger Art Museum E365814 entity
Predicate hasView P854 FINISHED
Object Mosvatnet lake E1152599 NE FINISHED

How this triple was built (2 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: Mosvatnet lake | Statement: [Stavanger Art Museum, hasView, Mosvatnet lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosvatnet lake
Context triple: [Stavanger Art Museum, hasView, Mosvatnet lake]
  • A. Mosvatnet lake chosen
    Mosvatnet lake is a scenic freshwater lake in Stavanger, Norway, known for its surrounding parklands, walking paths, and proximity to cultural attractions.
  • B. Sjusjøen lake
    Sjusjøen lake is a scenic freshwater lake in Norway, known for its surrounding cross-country skiing terrain and popular holiday cabins.
  • C. Vangsvatnet
    Vangsvatnet is a scenic lake in the municipality of Voss in western Norway, known for its surrounding mountains and popularity for outdoor and water sports activities.
  • D. Styggevatnet lake
    Styggevatnet lake is a glacial lake in Norway known for its dramatic ice-covered surroundings and proximity to the Jostedalsbreen glacier within Jostedalsbreen National Park.
  • E. Lovatnet
    Lovatnet is a scenic glacial lake in western Norway, renowned for its turquoise waters, dramatic surrounding mountains, and tragic history of devastating rockslide-induced tsunamis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ccd575c8190aa43262d3b73ef3c completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133d171c8190918c9624bcdb7451 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:15 a.m.