Triple

T20250354
Position Surface form Disambiguated ID Type / Status
Subject Skiensvassdraget E498534 entity
Predicate hasPart P35 FINISHED
Object Flåvatn 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: Flåvatn | Statement: [Skiensvassdraget, hasPart, Flåvatn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flåvatn
Context triple: [Skiensvassdraget, hasPart, Flåvatn]
  • A. Flåvatn chosen
    Flåvatn is a lake in Telemark, Norway, forming part of the Telemark Canal waterway system.
  • B. Lundevatn
    Lundevatn is a lake in Agder county in southern Norway, known for its elongated shape and scenic surroundings.
  • C. Bleikvatnet
    Bleikvatnet is a lake located in the municipality of Hemnes in Nordland county, Norway, known for its scenic surroundings and role in local outdoor recreation.
  • D. Dokkfløyvatnet
    Dokkfløyvatnet is a lake in Innlandet county, Norway, known as part of the inland lake system within the municipality of Nordre Land.
  • E. Bjørnevatn
    Bjørnevatn is a village in northern Norway known for its mining history and proximity to the Russian border.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a79a208190a5a7c0f6515bc393 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.