Triple

T19189147
Position Surface form Disambiguated ID Type / Status
Subject Danby railway station E469783 entity
Predicate hasStationCategory P2767 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: [Danby railway station, hasStationCategory, DfT category F2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DfT category F2
Context triple: [Danby railway station, hasStationCategory, 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a01d08819081608a6ab8c6e705 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.