Triple

T15751622
Position Surface form Disambiguated ID Type / Status
Subject Reisaelva E381859 entity
Predicate emptiesInto P408 FINISHED
Object Reisafjorden 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: Reisafjorden | Statement: [Reisaelva, emptiesInto, Reisafjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reisafjorden
Context triple: [Reisaelva, emptiesInto, Reisafjorden]
  • A. Reisafjorden chosen
    Reisafjorden is a fjord in northern Norway known for its dramatic coastal landscape and as the outlet of the Reisaelva river into the Norwegian Sea.
  • B. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • C. Vetlefjorden
    Vetlefjorden is a small fjord arm in Vestland county, Norway, known for its scenic landscapes and connection to the larger Sognefjorden.
  • D. Vindafjorden
    Vindafjorden is a fjord in Rogaland county, Norway, known as one of the main inner branches of the larger Boknafjorden system.
  • E. Reinefjorden
    Reinefjorden is a dramatic fjord in Norway’s Lofoten archipelago, renowned for its steep mountains, fishing villages, and iconic Arctic coastal scenery.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 4:47 a.m.