Triple

T20659103
Position Surface form Disambiguated ID Type / Status
Subject Tinnelva E507708 entity
Predicate mouthOfWatercourse P3817 FINISHED
Object Heddalsvatnet 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: Heddalsvatnet | Statement: [Tinnelva, mouthOfWatercourse, Heddalsvatnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heddalsvatnet
Context triple: [Tinnelva, mouthOfWatercourse, Heddalsvatnet]
  • A. Heddalsvatnet chosen
    Heddalsvatnet is a lake in Telemark, Norway, known as part of the Telemark waterway system and surrounded by forested hills and rural landscapes.
  • B. Eikesdalsvatnet
    Eikesdalsvatnet is a long, deep fjord lake in Møre og Romsdal county, Norway, known for its dramatic mountain scenery and surrounding waterfalls.
  • C. Rembesdalsvatnet
    Rembesdalsvatnet is a mountain lake in Ulvik municipality in Vestland county, western Norway, known for its scenic setting near the Hardangerjøkulen glacier.
  • D. Sandvinvatnet
    Sandvinvatnet is a lake in Ullensvang Municipality in Vestland county, western Norway, known for its scenic fjord-like setting beneath steep mountain slopes.
  • E. Sirdalsvatnet
    Sirdalsvatnet is a lake in Agder county, Norway, known for its elongated shape and scenic surroundings in the Sirdal valley.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eff7a88190be0bdea227616e02 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.