Triple

T13548662
Position Surface form Disambiguated ID Type / Status
Subject Freshwater Parish Council E323581 entity
Predicate mayConsultOn P13956 FINISHED
Object local planning applications 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 applications | Statement: [Freshwater Parish Council, mayConsultOn, local planning applications]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayConsultOn
Context triple: [Freshwater Parish Council, mayConsultOn, local planning applications]
  • A. consultsOn chosen
    Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
  • B. requiresConsultationWith
    Indicates that performing an action or making a decision depends on first obtaining input, approval, or advice from a specified party.
  • C. consulted
    Indicates that one entity sought advice, information, or guidance from another entity.
  • D. mayAdmit
    Indicates that one entity has the permission or authority to allow another entity to enter, join, or be accepted into something.
  • E. mayReportTo
    Indicates that one entity is permitted or allowed to have a reporting relationship to another entity, such as an employee being allowed to report to a particular manager.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae13bec4819084c1770638c00ed9 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.