Triple

T31082922
Position Surface form Disambiguated ID Type / Status
Subject Charles Street (Manchester) E792150 entity
Predicate hasNearbyRailTransport P31869 FINISHED
Object Manchester Oxford Road railway station (nearby) 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: Manchester Oxford Road railway station (nearby) | Statement: [Charles Street (Manchester), hasNearbyRailTransport, Manchester Oxford Road railway station (nearby)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyRailTransport
Context triple: [Charles Street (Manchester), hasNearbyRailTransport, Manchester Oxford Road railway station (nearby)]
  • A. hasNearbyRailway
    Indicates that one entity is located close to a railway associated with or relevant to another entity.
  • B. hasNearbyRailwayStation chosen
    Indicates that a railway station is located within a short or convenient distance from the referenced entity.
  • C. hasNearbyTramStop
    Indicates that a location has a tram stop situated within a short walking distance or close proximity.
  • D. operatorOfNearbyTransit
    Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
  • E. hasTransportationProximityTo
    Indicates that one entity is located near or conveniently accessible to another entity in terms of transportation options or routes.
  • 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_69f224ce48348190bd0fc23f656ed683 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fed357b2b4819084c709056a54461f completed May 9, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69fed103d9cc81909b11619745110c61 completed May 9, 2026, 6:15 a.m.
Created at: April 29, 2026, 9:02 p.m.