Triple

T5838265
Position Surface form Disambiguated ID Type / Status
Subject MX3000 train E129528 entity
Predicate operator P179 FINISHED
Object Oslo Metro E23196 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 Metro | Statement: [MX3000 train, operator, Oslo Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oslo Metro
Context triple: [MX3000 train, operator, Oslo Metro]
  • A. Oslo Metro chosen
    The Oslo Metro is the rapid transit system serving Norway's capital, providing high-frequency urban and suburban rail connections across the Oslo metropolitan area.
  • B. Oslo Metro Ring Line
    The Oslo Metro Ring Line is a circular rapid transit route in Oslo’s metro system that connects several key residential and commercial districts around the city center.
  • C. Oslo Metro Line 1
    Oslo Metro Line 1 is one of the lines in the Oslo Metro system, running from the city center through several residential districts to the hilly Holmenkollen area and the Frognerseteren terminus.
  • D. Oslo Metro Line 2
    Oslo Metro Line 2 is one of the main rapid transit lines in the Oslo Metro system, running east–west across the city and connecting central Oslo with several suburban areas.
  • E. Oslo Metro Line 3
    Oslo Metro Line 3 is one of the main rapid transit lines in Oslo, Norway, running through the city center and connecting several eastern and western suburbs.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a66c448190a6ea7f9827cbffe9 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64b93ae1c8190a0207247dc93220b completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 3:54 p.m.