Triple

T23126817
Position Surface form Disambiguated ID Type / Status
Subject Oslo Tunnel E577053 entity
Predicate hasStation P35 FINISHED
Object Oslo Central Station 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: Oslo Central Station | Statement: [Oslo Tunnel, hasStation, Oslo Central Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Central Station
Context triple: [Oslo Tunnel, hasStation, 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 (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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5482588190b95b36075ecc7f24 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.