Triple

T11770228
Position Surface form Disambiguated ID Type / Status
Subject Register of Historic Parks and Gardens E279876 entity
Predicate consultationBody P3453 FINISHED
Object local planning authorities 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: local planning authorities | Statement: [Register of Historic Parks and Gardens, consultationBody, local planning authorities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consultationBody
Context triple: [Register of Historic Parks and Gardens, consultationBody, local planning authorities]
  • A. consultedOrganization
    Indicates that one entity sought advice, guidance, or information from an organization.
  • B. consultsOn
    Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
  • C. consultationMethod
    Indicates the way or medium through which a consultation is conducted or delivered.
  • D. requiresConsultationWith
    Indicates that performing an action or making a decision depends on first obtaining input, approval, or advice from a specified party.
  • E. hasConsultativeBody chosen
    Indicates that an entity is associated with a consultative body that provides advice, recommendations, or guidance on its decisions or activities.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a8c2e8b08190a31b1e284fca2aee completed April 10, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69d8a242cd8c819086ed6c5f292dc8cb completed April 10, 2026, 7:09 a.m.
Created at: April 8, 2026, 9:41 p.m.