Triple

T9841601
Position Surface form Disambiguated ID Type / Status
Subject Jøssingfjord power station E239238 entity
Predicate usesWatercourse P58979 FINISHED
Object Jøssingfjord E8234 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: Jøssingfjord | Statement: [Jøssingfjord power station, usesWatercourse, Jøssingfjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jøssingfjord
Context triple: [Jøssingfjord power station, usesWatercourse, Jøssingfjord]
  • A. Jøssingfjord chosen
    Jøssingfjord is a narrow fjord on the southwestern coast of Norway, historically notable as the site of the 1940 Altmark Incident during World War II.
  • B. Hjørundfjord
    Hjørundfjord is a dramatic, narrow fjord in Norway’s Sunnmøre region, renowned for its steep mountain walls, deep waters, and scenic, relatively untouched natural landscapes.
  • C. Ringdalsfjord
    Ringdalsfjord is a smaller fjord arm that forms part of the larger Iddefjord system on the border between Norway and Sweden.
  • D. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • E. Vågsfjorden
    Vågsfjorden is a fjord in northern Norway known for its scenic coastal landscapes and as a maritime hub for surrounding towns and islands.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34c920c81909b56ed9936b15f9b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead49b14819086a9bbd256f298a9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:33 p.m.