Triple

T6266187
Position Surface form Disambiguated ID Type / Status
Subject Barcode skyline E140418 entity
Predicate locatedNear P294 FINISHED
Object Oslo Central Station E22609 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: Oslo Central Station | Statement: [Barcode skyline, locatedNear, Oslo Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Central Station
Context triple: [Barcode skyline, locatedNear, Oslo Central Station]
  • A. Oslo Central Station chosen
    Oslo Central Station is Norway’s largest and busiest railway hub, serving as the main national and regional train terminal in the heart of Oslo.
  • B. Trondheim Central Station
    Trondheim Central Station is the main railway hub in Trondheim, Norway, serving as a key junction for regional and long-distance train services across the country.
  • C. Bergen Station
    Bergen Station is the main railway terminal in Bergen, Norway, serving as the western terminus of the Bergen Line and a key hub for regional and long-distance train services.
  • D. Eidsvoll Station
    Eidsvoll Station is a railway station in Eidsvoll, Norway, serving as a key stop on the country’s main rail routes.
  • E. Oslo Airport Station
    Oslo Airport Station is the main railway station serving Oslo Airport, Gardermoen, providing high-speed and regional train connections between the airport and the rest of Norway.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0639fdad081908492c44d369df8c5 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70add5a788190a2b16839659f662b completed March 27, 2026, 10:55 p.m.
Created at: March 22, 2026, 4:25 p.m.