Triple

T15302807
Position Surface form Disambiguated ID Type / Status
Subject Kinsarvik E365828 entity
Predicate locatedOnWaterbody P1489 FINISHED
Object Eidfjorden NE NERFINISHED

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: Eidfjorden | Statement: [Kinsarvik, locatedOnWaterbody, Eidfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eidfjorden
Context triple: [Kinsarvik, locatedOnWaterbody, Eidfjorden]
  • A. Eidfjorden chosen
    Eidfjorden is a scenic inner branch of Norway’s Hardangerfjord, known for its steep mountainsides, waterfalls, and fjord landscapes.
  • B. Eidsfjorden
    Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
  • C. Strondafjorden
    Strondafjorden is a prominent lake in the Valdres region of Innlandet county, Norway, known for its scenic mountain surroundings and role in local recreation and tourism.
  • D. Strindfjorden
    Strindfjorden is a bay-like arm of the Trondheimsfjord in central Norway, known for bordering parts of the city of Trondheim and its surrounding coastal landscape.
  • E. Bremnesfjorden
    Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 10, 2026, 3:15 a.m.