Triple

T15014396
Position Surface form Disambiguated ID Type / Status
Subject Romsdal E377920 entity
Predicate containsFjord P5879 FINISHED
Object Romsdalsfjorden E406029 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: Romsdalsfjorden | Statement: [Romsdal, containsFjord, Romsdalsfjorden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romsdalsfjorden
Context triple: [Romsdal, containsFjord, 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. Eidsfjorden
    Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
  • E. Orkdalsfjorden
    Orkdalsfjorden is a branch of the Trondheimsfjord in central Norway, known for its narrow, fjord-like extension inland toward the town of Orkanger.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7623c3c819092ca36b358b01842 completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ebe275c819094473d37cf33c7d0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 2:55 a.m.