Triple

T23351733
Position Surface form Disambiguated ID Type / Status
Subject Skarnsund Bridge E592930 entity
Predicate locatedNear P294 FINISHED
Object Venneshamn NE NERFINISHED

How this triple was built (3 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: Venneshamn | Statement: [Skarnsund Bridge, locatedNear, Venneshamn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venneshamn
Context triple: [Skarnsund Bridge, locatedNear, Venneshamn]
  • A. Strusshamn
    Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
  • B. Vingelen
    Vingelen is a small village in Innlandet county, Norway, known for its traditional wooden farm buildings and scenic mountain surroundings.
  • C. Rebbeneshamn
    Rebbeneshamn is a small coastal village located on the island of Ringvassøya in northern Norway.
  • D. Vennes
    Vennes is a metro station on Lausanne’s M2 line in Switzerland, serving the eastern part of the city near the Olympic Museum and local residential areas.
  • E. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Venneshamn
Target entity description: Venneshamn is a small coastal settlement in central Norway situated near the Skarnsund strait and the Skarnsund Bridge.
  • A. Strusshamn
    Strusshamn is a coastal village in western Norway known for its traditional wooden architecture and maritime heritage, located on the island of Askøy near Bergen.
  • B. Vingelen
    Vingelen is a small village in Innlandet county, Norway, known for its traditional wooden farm buildings and scenic mountain surroundings.
  • C. Rebbeneshamn
    Rebbeneshamn is a small coastal village located on the island of Ringvassøya in northern Norway.
  • D. Vennes
    Vennes is a metro station on Lausanne’s M2 line in Switzerland, serving the eastern part of the city near the Olympic Museum and local residential areas.
  • E. Hedesunda
    Hedesunda is a small locality in east-central Sweden known for its rural character and proximity to forests, lakes, and the Dalälven River.
  • F. None of above. chosen

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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1401748190b77df0a45c2aeebf completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.