Triple

T15528688
Position Surface form Disambiguated ID Type / Status
Subject Fuglset E370150 entity
Predicate hasCoastlineOn P212 FINISHED
Object Moldefjorden 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: Moldefjorden | Statement: [Fuglset, hasCoastlineOn, Moldefjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moldefjorden
Context triple: [Fuglset, hasCoastlineOn, Moldefjorden]
  • A. Moldefjorden chosen
    Moldefjorden is a fjord in Møre og Romsdal county, Norway, known for its scenic coastal landscape near the town of Molde.
  • B. 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.
  • C. Randsfjorden
    Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
  • D. Skjerstadfjorden
    Skjerstadfjorden is a large fjord in Nordland county, Norway, known for its dramatic tidal currents and connection to the famous Saltstraumen maelstrom.
  • E. Vetlefjorden
    Vetlefjorden is a small fjord arm in Vestland county, Norway, known for its scenic landscapes and connection to the larger Sognefjorden.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:05 a.m.