Triple

T10429129
Position Surface form Disambiguated ID Type / Status
Subject Halden municipality E245861 entity
Predicate hasNaturalFeature P1094 FINISHED
Object Iddefjord E54041 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: Iddefjord | Statement: [Halden municipality, hasNaturalFeature, Iddefjord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iddefjord
Context triple: [Halden municipality, hasNaturalFeature, Iddefjord]
  • A. Iddefjord chosen
    Iddefjord is a narrow fjord forming part of the border between Norway and Sweden, known for its scenic landscapes and proximity to the town of Halden.
  • B. Flensburg Fjord
    Flensburg Fjord is a Baltic Sea inlet forming part of the border between Germany and Denmark, known for its scenic coastline, maritime heritage, and the harbor city of Flensburg at its western end.
  • C. Nissum Fjord
    Nissum Fjord is a shallow coastal lagoon on the west coast of Jutland in Denmark, known for its rich birdlife, dunes, and surrounding protected natural areas.
  • D. Storfjorden
    Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
  • E. Efjorden
    Efjorden is a scenic fjord in Nordland county, Norway, known for its dramatic mountain landscapes and coastal natural beauty.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22087d008190a9db6080b8c10f5d completed April 14, 2026, 11:16 a.m.
Created at: April 6, 2026, 12:13 p.m.