Triple

T5840707
Position Surface form Disambiguated ID Type / Status
Subject Trikken i Oslo E129584 entity
Predicate hasDepot P2413 FINISHED
Object Holtet tram depot E132684 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: Holtet tram depot | Statement: [Trikken i Oslo, hasDepot, Holtet tram depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holtet tram depot
Context triple: [Trikken i Oslo, hasDepot, Holtet tram depot]
  • A. Holtet depot chosen
    Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
  • B. Steintor tram stop
    Steintor tram stop is a public tram station in Hanover, Germany, serving as a key transit point near the Gehry Tower and the city center.
  • C. Hammarby depot
    Hammarby depot is a maintenance and storage facility serving Stockholm’s Tvärbanan light rail system.
  • D. Elverum Station
    Elverum Station is a railway station in the town of Elverum in Innlandet county, Norway, serving as a regional transport hub on the Røros Line.
  • E. Gaustad tram stop
    Gaustad tram stop is a light rail station on the Oslo Tramway network serving the Gaustad area of Oslo, 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d6f09c81908dfb3c2c51a2f5a9 completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.