Triple

T15751193
Position Surface form Disambiguated ID Type / Status
Subject Salten E381847 entity
Predicate hasPart P35 FINISHED
Object Skjerstadfjorden 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: Skjerstadfjorden | Statement: [Salten, hasPart, Skjerstadfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skjerstadfjorden
Context triple: [Salten, hasPart, Skjerstadfjorden]
  • A. Skjerstadfjorden chosen
    Skjerstadfjorden is a large fjord in Nordland county, Norway, known for its dramatic tidal currents and connection to the famous Saltstraumen maelstrom.
  • B. Beitstadfjorden
    Beitstadfjorden is an inner branch of the Trondheimsfjord in Trøndelag county, Norway, known for its sheltered waters and surrounding agricultural and forested landscapes.
  • C. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • D. Heggefjorden
    Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
  • E. Uskedalsfjorden
    Uskedalsfjorden is a scenic fjord in Kvinnherad municipality in Vestland county, western Norway, known for its steep mountainsides and coastal landscapes.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05030e31081908c307a8dc7067db4 completed April 16, 2026, 2:57 a.m.
Created at: April 10, 2026, 4:47 a.m.