Triple

T18597570
Position Surface form Disambiguated ID Type / Status
Subject Midttrafik E454531 entity
Predicate fareSystem P395 FINISHED
Object Rejsekort NE NERFINISHED

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: [Midttrafik, fareSystem, Rejsekort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rejsekort
Context triple: [Midttrafik, 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. שר התיירות
    שר התיירות הוא חבר ממשלת ישראל האחראי על גיבוש והובלת מדיניות התיירות, קידום ישראל כיעד תיירותי ופיתוח תשתיות התיירות במדינה.
  • D. Haus des Reisens
    Haus des Reisens is a prominent modernist high-rise building in Berlin, Germany, known as a key example of East German socialist architecture.
  • E. Rihla
    Rihla is the famous travelogue of the 14th-century Moroccan explorer Ibn Battuta, chronicling his extensive journeys across the Islamic world and beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474d934481909b4afd5ef9031c73 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.