Triple

T33580229
Position Surface form Disambiguated ID Type / Status
Subject Logan Utah Temple E860129 entity
Predicate hasLandscapedGrounds P13651 FINISHED
Object true 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: true | Statement: [Logan Utah Temple, hasLandscapedGrounds, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandscapedGrounds
Context triple: [Logan Utah Temple, hasLandscapedGrounds, true]
  • A. hasLandscaping chosen
    Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
  • B. hasGrass
    Indicates that one entity possesses or is covered by grass.
  • C. hasMeadow
    Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
  • D. hasRuralLandscapeType
    Indicates that an entity is associated with or characterized by a specific type of rural landscape.
  • E. coversGrounds
    Indicates that one entity extends over, occupies, or lies across the surface area of another entity (typically land or grounds).
  • 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_69f3497d37848190afcbb5ef3f5c7376 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fef8c3f2388190b995ec173512945a completed May 9, 2026, 9:05 a.m.
PD Predicate disambiguation batch_69fef65975608190960b78d27e806d4f completed May 9, 2026, 8:54 a.m.
Created at: May 1, 2026, 1:40 a.m.