Triple

T19655767
Position Surface form Disambiguated ID Type / Status
Subject R70 E471934 entity
Predicate paymentMethod P5428 FINISHED
Object Travelcard 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: Travelcard | Statement: [R70, paymentMethod, Travelcard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard
Context triple: [R70, paymentMethod, Travelcard]
  • A. Travelcard chosen
    Travelcard is a ticketing product used across London’s public transport network, allowing unlimited travel within selected zones on services such as the Underground, buses, and trains.
  • B. Libero travelcard
    The Libero travelcard is a regional public transport pass used for unlimited travel within designated zones in and around Bern and other parts of the Libero fare network in Switzerland.
  • C. Travelcard Zone 9
    Travelcard Zone 9 is one of the outermost London fare zones, covering certain suburban and out-of-London railway stations for Travelcard and contactless ticketing.
  • D. Travelcard Zone 6
    Travelcard Zone 6 is one of the outer fare zones in the London public transport system, covering suburban areas on the edge of Greater London.
  • E. GA Travelcard
    The GA Travelcard is a Swiss nationwide public transport pass that allows unlimited travel on most trains, buses, trams, and boats within the country’s integrated fare network.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641452ac481908d5493506ee96516 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.