Triple

T14056953
Position Surface form Disambiguated ID Type / Status
Subject Movia buses E338243 entity
Predicate fareSystem P395 FINISHED
Object Rejsekort E338245 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: Rejsekort | Statement: [Movia buses, fareSystem, Rejsekort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rejsekort
Context triple: [Movia buses, fareSystem, Rejsekort]
  • A. Rejsekort chosen
    Rejsekort is Denmark’s nationwide contactless smart card system used for paying fares on public transportation, including services like the Copenhagen Metro.
  • B. Kusafiri
    Kusafiri is a World Association of Girl Guides and Girl Scouts World Centre that operates as a traveling hub for international Guiding events and leadership programs across Africa.
  • C. Rihla
    Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
  • D. Turistas
    Turistas is a 2006 horror thriller film about American backpackers in Brazil who fall victim to an organ-harvesting ring.
  • E. Tagfahrt
    Tagfahrt is the German term for the Hanseatic Diet, the representative assembly of the Hanseatic League’s member cities that coordinated their common policies and trade affairs.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.