Triple

T23351733
Position Surface form Disambiguated ID Type / Status
Subject Skarnsund Bridge E592930 entity
Predicate locatedNear P294 FINISHED
Object Venneshamn
Venneshamn is a small coastal settlement in central Norway situated near the Skarnsund strait and the Skarnsund Bridge.
 E1583357 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Venneshamn
Triple: [Skarnsund Bridge, locatedNear, Venneshamn]
Generated description
Venneshamn is a small coastal settlement in central Norway situated near the Skarnsund strait and the Skarnsund Bridge.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcc2fec819095f0457c311c25b6 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f0188388190a76923ea497f1b04 completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fd0c4e88190901c08e6c969e7ac completed May 19, 2026, 1:04 p.m.
Created at: April 17, 2026, 5:20 p.m.