Triple

T30684887
Position Surface form Disambiguated ID Type / Status
Subject Ugbrooke House E781156 entity
Predicate hasLandscapeDesignBy P19613 FINISHED
Object Lancelot "Capability" Brown 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: Lancelot "Capability" Brown | Statement: [Ugbrooke House, hasLandscapeDesignBy, Lancelot "Capability" Brown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandscapeDesignBy
Context triple: [Ugbrooke House, hasLandscapeDesignBy, Lancelot "Capability" Brown]
  • A. hasLandscapeDesignInfluence
    Indicates that one entity has influenced or shaped the landscape design style, principles, or features of another entity.
  • B. landscapeDesignedBy chosen
    Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
  • C. hasLandscaping
    Indicates that an entity possesses or is associated with designed outdoor grounds or landscape features.
  • D. hasLandscapeArchitecturalStyle
    Indicates that something (such as a site or landscape) is designed or characterized according to a particular landscape architectural style.
  • E. hasDesign
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • 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_69f224a92f54819095499b4d32bd5134 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: April 29, 2026, 8:33 p.m.