Triple

T5290989
Position Surface form Disambiguated ID Type / Status
Subject Hoved Line E119739 entity
Predicate historicalTerminus P39746 FINISHED
Object Oslo East 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 East Station | Statement: [Hoved Line, historicalTerminus, Oslo East Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo East Station
Context triple: [Hoved Line, historicalTerminus, Oslo East 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. Lysaker Station
    Lysaker Station is a major railway station in the Oslo metropolitan area of Norway, serving as an important commuter and regional transport hub.
  • 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. Drammen Station
    Drammen Station is a major railway hub in Drammen, Norway, connecting regional and long-distance train services to Oslo and other parts of the country.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eac7b88190900142bd1310c0fd completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77ac8e3c8190a846955a9eb65905 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 1:52 p.m.