Triple

T7532996
Position Surface form Disambiguated ID Type / Status
Subject Oslo Metro Line 5 E178073 entity
Predicate owner P347 FINISHED
Object Sporveien E132671 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: Sporveien | Statement: [Oslo Metro Line 5, owner, Sporveien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sporveien
Context triple: [Oslo Metro Line 5, owner, Sporveien]
  • A. Sporveien chosen
    Sporveien is the municipally owned public transport company in Oslo that operates key parts of the city's metro, tram, and bus infrastructure.
  • B. Svenskens vei
    Svenskens vei is a street located in the Vålerenga neighborhood of Oslo, Norway.
  • C. Vålerenggata
    Vålerenggata is a street located in the Vålerenga neighborhood of Oslo, Norway, known for its traditional wooden houses and historic urban character.
  • D. Bogstadveien
    Bogstadveien is a prominent shopping and commercial street in Oslo, Norway, known for its boutiques, cafes, and central location.
  • E. Frognerseteren Line
    The Frognerseteren Line is a metro line in Oslo, Norway, that runs through hilly, forested terrain up to the Frognerseteren area, offering access to popular hiking and skiing destinations.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8493964819086aeddfa4872a70b completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f03485c8190829beb95a8be0236 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.