Triple

T10186293
Position Surface form Disambiguated ID Type / Status
Subject London fare zone 4 E236917 entity
Predicate partOf P40 FINISHED
Object Travelcard zones E310826 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: Travelcard zones | Statement: [London fare zone 4, partOf, Travelcard zones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard zones
Context triple: [London fare zone 4, partOf, Travelcard zones]
  • A. Travelcard Zone 5
    Travelcard Zone 5 is an outer London public transport fare zone used to calculate ticket and Travelcard prices on services including the London Underground.
  • B. 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.
  • C. Travelcard Zones 1–5
    Travelcard Zones 1–5 are a set of concentric public transport fare zones in London covering central and much of suburban Greater London for use on services such as the Underground, buses, and trains.
  • D. 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.
  • E. Travelcard Zone 4 chosen
    Travelcard Zone 4 is a London public transport fare zone covering suburban areas beyond the inner city, used to calculate ticket and Travelcard prices on services including the Underground.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded790b488190b1ed4645554873cd completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317adddc88190a41d0eabe64f952b completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.