Triple

T22574981
Position Surface form Disambiguated ID Type / Status
Subject London Marylebone – Banbury E544368 entity
Predicate hasIntermediateRole P109446 FINISHED
Object forms southern section of Chiltern Main Line LITERAL 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: forms southern section of Chiltern Main Line | Statement: [London Marylebone – Banbury, hasIntermediateRole, forms southern section of Chiltern Main Line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntermediateRole
Context triple: [London Marylebone – Banbury, hasIntermediateRole, forms southern section of Chiltern Main Line]
  • A. hasIntermediate chosen
    Indicates that there exists one or more entities that serve as a middle or transitional step between two related entities or stages.
  • B. hasAuxiliaryRole
    Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
  • C. hasSubrole
    Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
  • D. hasIntermodalRole
    Indicates that an entity plays a specific role or function within an intermodal (multi-mode) transportation or logistics context.
  • E. hasAdjacentRole
    Indicates that one role is positioned directly next to or alongside another role within a defined structure or sequence.
  • F. None of above.

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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fec296481908a6101b02e5bedaa completed April 29, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:53 p.m.