Triple

T21414735
Position Surface form Disambiguated ID Type / Status
Subject Wallyford railway station E528269 entity
Predicate category P87 FINISHED
Object DfT category F2 — 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: DfT category F2 | Statement: [Wallyford railway station, category, DfT category F2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DfT category F2
Context triple: [Wallyford railway station, category, DfT category F2]
  • A. DfT category F2 chosen
    DfT category F2 is a UK Department for Transport classification for very small, lightly used railway stations with minimal facilities.
  • B. DfT category C2
    DfT category C2 is a UK Department for Transport classification denoting a medium-usage railway station with important regional significance and a moderate range of passenger facilities.
  • C. DfT category D
    DfT category D is a UK Department for Transport vehicle classification band used to group certain types of vehicles by shared regulatory or operational characteristics.
  • D. DfT category B
    DfT category B is a UK Department for Transport classification for major railway stations that handle high passenger volumes but are not the very busiest national hubs.
  • E. DfT category E
    DfT category E is a classification used by the UK Department for Transport for small, typically unstaffed or lightly staffed local railway stations with relatively low passenger usage.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2032fe48190907b282e2fffa2bd completed April 22, 2026, 11:33 a.m.
Created at: April 16, 2026, 5:45 p.m.