Triple

T15463913
Position Surface form Disambiguated ID Type / Status
Subject Innlandet E371974 entity
Predicate hasViewOf P854 FINISHED
Object Kristiansund harbour E381153 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: Kristiansund harbour | Statement: [Innlandet, hasViewOf, Kristiansund harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristiansund harbour
Context triple: [Innlandet, hasViewOf, Kristiansund harbour]
  • A. Kristiansund harbor chosen
    Kristiansund harbor is a coastal port in the town of Kristiansund, Norway, known for its sheltered natural setting and role in regional fishing, shipping, and maritime transport.
  • B. Egersund harbor
    Egersund harbor is a coastal port area in the town of Egersund in southwestern Norway, known for its maritime activities and fishing industry.
  • C. Melbu harbor
    Melbu harbor is a coastal port and ferry terminal village in Hadsel Municipality in Nordland county, Norway, serving as a local hub for maritime transport and fishing.
  • D. Ålesund harbor
    Ålesund harbor is a picturesque Norwegian port known for its Art Nouveau waterfront, surrounding fjords, and views from the nearby Aksla viewpoint.
  • E. Skien harbor
    Skien harbor is the port area serving the city of Skien in Norway, functioning as a local hub for maritime transport and commerce.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1927708190a0d2b63e75469a0e completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4448c08190ac640642cc8fc41f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:33 a.m.