Triple

T22992747
Position Surface form Disambiguated ID Type / Status
Subject Egersund Station E572094 entity
Predicate locatedNear P294 FINISHED
Object Egersund town centre NE NERFINISHED

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: Egersund town centre | Statement: [Egersund Station, locatedNear, Egersund town centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egersund town centre
Context triple: [Egersund Station, locatedNear, Egersund town centre]
  • A. Egersund chosen
    Egersund is a coastal town in southwestern Norway known for its fishing industry, historic wooden architecture, and scenic harbor.
  • B. Kongsberg town centre
    Kongsberg town centre is the central urban area of Kongsberg, Norway, known for its historic silver mining heritage and role as the city’s commercial and cultural hub.
  • C. 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.
  • D. Bergen village center
    Bergen village center is the main commercial and civic hub of the Town of Bergen in Genesee County, New York, featuring local businesses, services, and community activities.
  • E. Old Stavanger (Gamle Stavanger)
    Old Stavanger (Gamle Stavanger) is a historic district in Stavanger, Norway, known for its well-preserved wooden houses from the 18th and 19th centuries and charming cobblestone streets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182f017a88190b02d0649a3af5d99 completed April 29, 2026, 4:02 a.m.
Created at: April 17, 2026, 3:50 p.m.