Triple

T18636680
Position Surface form Disambiguated ID Type / Status
Subject Chelsfield railway station E455567 entity
Predicate locatedIn P40 FINISHED
Object Travelcard Zone 6 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 Zone 6 | Statement: [Chelsfield railway station, locatedIn, Travelcard Zone 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travelcard Zone 6
Context triple: [Chelsfield railway station, locatedIn, Travelcard Zone 6]
  • A. Travelcard Zone 6 chosen
    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.
  • B. Travelcard Zone 8
    Travelcard Zone 8 is one of the outer fare zones of the London public transport system, covering several suburban and commuter towns beyond the city’s central area.
  • C. 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.
  • D. Travelcard Zone 7
    Travelcard Zone 7 is one of the outer fare zones of the London public transport system, covering several suburban and fringe areas beyond the central city.
  • E. 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.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc90b508190849cecb462b52b62 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.