Triple

T20439131
Position Surface form Disambiguated ID Type / Status
Subject Tønsbergfjorden E501335 entity
Predicate hasMouthIn P1008 FINISHED
Object Skagerrak E28566 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: Skagerrak | Statement: [Tønsbergfjorden, hasMouthIn, Skagerrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skagerrak
Context triple: [Tønsbergfjorden, hasMouthIn, Skagerrak]
  • A. Skagerrak chosen
    Skagerrak is a strait and sea area between Norway, Denmark, and Sweden that connects the North Sea to the Baltic Sea.
  • B. Kattegat
    Kattegat is a shallow sea area and strait between Denmark and Sweden that forms a key maritime passage linking the North Sea with the Baltic Sea.
  • C. Bothnian Sea
    The Bothnian Sea is the southern part of the Gulf of Bothnia, a brackish water basin between Sweden and Finland that forms a northern arm of the Baltic Sea.
  • D. Norway Bight
    Norway Bight is a coastal indentation or bay located near Mount Sladen, likely along a polar or subpolar shoreline.
  • E. Øresund
    Øresund is the strait between Denmark and Sweden that connects the Baltic Sea to the North Sea and is spanned by the Øresund Bridge.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f112e48190a3af818c0f6ee839 completed April 20, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893a37e9481908a5d47cf7860a958 completed May 16, 2026, 3:56 p.m.
Created at: April 16, 2026, 11:31 a.m.