Triple

T5840689
Position Surface form Disambiguated ID Type / Status
Subject Trikken i Oslo E129584 entity
Predicate localName P657 FINISHED
Object Oslo-trikken E129584 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-trikken | Statement: [Trikken i Oslo, localName, Oslo-trikken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo-trikken
Context triple: [Trikken i Oslo, localName, Oslo-trikken]
  • A. Trikken i Oslo chosen
    Trikken i Oslo is the electric tram system that forms a key part of the public transport network in Norway’s capital, Oslo.
  • B. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • C. Freden i Nystad
    Freden i Nystad är det fredsavtal från 1721 som avslutade det stora nordiska kriget mellan Sverige och Ryssland och markerade slutet på Sveriges tid som stormakt.
  • D. Olavtoppen
    Olavtoppen is the highest mountain on the remote subantarctic Bouvet Island, a Norwegian dependency in the South Atlantic Ocean.
  • E. Løten
    Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
  • 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.