Triple

T15120037
Position Surface form Disambiguated ID Type / Status
Subject DfT category E E361145 entity
Predicate hasNarrowerCategory P70092 FINISHED
Object DfT category F1 E990091 NE FINISHED

How this triple was built (3 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 F1 | Statement: [DfT category E, hasNarrowerCategory, DfT category F1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DfT category F1
Context triple: [DfT category E, hasNarrowerCategory, DfT category F1]
  • A. Department for Transport category F1 chosen
    Department for Transport category F1 is a UK railway station classification denoting a very small, typically unstaffed local station with low passenger usage and basic facilities.
  • B. DfT category F2
    DfT category F2 is a UK Department for Transport classification for very small, lightly used railway stations with minimal facilities.
  • C. DfT category C1
    DfT category C1 is a UK Department for Transport classification denoting a busy medium-sized railway station with significant passenger usage and facilities.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNarrowerCategory
Context triple: [DfT category E, hasNarrowerCategory, DfT category F1]
  • A. hasCategoryWithin
    Indicates that one category is contained within or is a subcategory of another category.
  • B. hasParentCategory
    Indicates that an entity belongs to or is organized under a broader, more general category.
  • C. containsCategory chosen
    Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
  • D. hasCategoryLevel
    Indicates that something is associated with a specific hierarchical category or tier within a classification system.
  • E. hasRelatedCategory
    Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
  • F. None of above.

Provenance (4 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059e036c8190959ff3bde8f2356f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f2e3408190ae095d16396e420d completed May 9, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69deb96c1d9c81909351558ed97bc5b7 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:06 a.m.