Triple

T3522129
Position Surface form Disambiguated ID Type / Status
Subject Oksskolten E74445 entity
Predicate drainageBasin P1559 FINISHED
Object Ranfjorden E391545 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: Ranfjorden | Statement: [Oksskolten, drainageBasin, Ranfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranfjorden
Context triple: [Oksskolten, drainageBasin, Ranfjorden]
  • A. Ranfjorden chosen
    Ranfjorden is a long, narrow fjord in Nordland county, Norway, known for its dramatic coastal landscape and the industrial town of Mo i Rana along its shores.
  • B. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • C. Eidfjorden
    Eidfjorden is a scenic inner branch of Norway’s Hardangerfjord, known for its steep mountainsides, waterfalls, and fjord landscapes.
  • D. Boknafjorden
    Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
  • E. Osafjorden
    Osafjorden is a side fjord of Norway’s Hardangerfjord, known for its steep mountain scenery and tranquil, narrow waters.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4dd6d48190a5a3f4b86c82b86c completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503d9643881909737836640c22802 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:19 p.m.