Triple

T15528863
Position Surface form Disambiguated ID Type / Status
Subject Aker Stadion E370155 entity
Predicate hasViewOf P854 FINISHED
Object Romsdalsfjorden 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: Romsdalsfjorden | Statement: [Aker Stadion, hasViewOf, Romsdalsfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romsdalsfjorden
Context triple: [Aker Stadion, hasViewOf, Romsdalsfjorden]
  • A. Romsdalsfjorden chosen
    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.
  • B. Strondafjorden
    Strondafjorden is a prominent lake in the Valdres region of Innlandet county, Norway, known for its scenic mountain surroundings and role in local recreation and tourism.
  • C. Namsenfjorden
    Namsenfjorden is a fjord in Trøndelag county, Norway, known for its scenic coastal landscape and connection to the Namsen River near the town of Namsos.
  • D. Nordfjorden
    Nordfjorden is a major fjord in Vestland county, western Norway, known for its dramatic coastal and mountainous scenery and traditional fishing communities.
  • E. Eidsfjorden
    Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
  • 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.