Triple

T3687732
Position Surface form Disambiguated ID Type / Status
Subject Tysfjord E78264 entity
Predicate connectsTo P845 FINISHED
Object Vestfjorden E433878 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: Vestfjorden | Statement: [Tysfjord, connectsTo, Vestfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestfjorden
Context triple: [Tysfjord, connectsTo, Vestfjorden]
  • A. Vestfjorden chosen
    Vestfjorden is a broad, often stormy strait off northern Norway that separates the Lofoten archipelago from the mainland and is known for its rich fisheries and dramatic coastal scenery.
  • B. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • C. Oslofjord
    Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
  • D. Romsdalsfjorden
    Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
  • E. Lysefjord
    Lysefjord is a dramatic, steep-walled fjord in southwestern Norway, famed for its towering cliffs, including the iconic Preikestolen (Pulpit Rock), and striking natural scenery.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c7e2bc81909356c8b0ed90feed completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b672133044819089d54cca5ed6a063 completed March 15, 2026, 8:47 a.m.
Created at: March 8, 2026, 3:26 p.m.