Triple

T33585746
Position Surface form Disambiguated ID Type / Status
Subject Kilmacthomas E860273 entity
Predicate hasGreenwayFacility P80014 FINISHED
Object car park for Waterford Greenway users 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: car park for Waterford Greenway users | Statement: [Kilmacthomas, hasGreenwayFacility, car park for Waterford Greenway users]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGreenwayFacility
Context triple: [Kilmacthomas, hasGreenwayFacility, car park for Waterford Greenway users]
  • A. hasGreenwaySegment
    Indicates that an entity includes, is connected to, or is composed of one or more segments of a greenway path or corridor.
  • B. hasGreenCorridorFunction
    Indicates that something serves as a green corridor, enabling ecological connectivity or movement of species between natural or semi-natural areas.
  • C. hasRoadsideFacility
    Indicates that a location or route segment is associated with a facility or service situated along its roadside.
  • D. hasCivicAmenity chosen
    Indicates that an entity possesses, provides, or is associated with a public facility or service intended for community use.
  • E. hasWheelchairLanes
    Indicates that a location, route, or facility includes designated lanes or pathways specifically designed for wheelchair use.
  • 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_69f3497e70e48190951c94d072879bec completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7516d5b4081908588a6feb541f355 completed May 3, 2026, 1:45 p.m.
PD Predicate disambiguation batch_69f74d40ebb081909daf60623e38f41d completed May 3, 2026, 1:27 p.m.
Created at: May 1, 2026, 1:40 a.m.