Triple

T13972743
Position Surface form Disambiguated ID Type / Status
Subject Xscape Milton Keynes E336104 entity
Predicate hasIndoor P61429 FINISHED
Object snow environment 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: snow environment | Statement: [Xscape Milton Keynes, hasIndoor, snow environment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndoor
Context triple: [Xscape Milton Keynes, hasIndoor, snow environment]
  • A. hasIndoorType
    Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
  • B. hasIndoorArea chosen
    Indicates that an entity possesses or includes an area or space that is located indoors or within a building.
  • C. indoorOrOutdoor
    Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
  • D. hasIndoorStage
    Indicates that a venue or location includes an indoor stage area suitable for performances or presentations.
  • E. isIndoorOutdoorHybrid
    Indicates that something functions as both an indoor and outdoor variant or environment, combining characteristics of each.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
Created at: April 9, 2026, 10:18 p.m.