Triple

T13270740
Position Surface form Disambiguated ID Type / Status
Subject Seabird Sanctuary E316047 entity
Predicate typicalLegalStatus P2250 FINISHED
Object legally protected area 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: legally protected area | Statement: [Seabird Sanctuary, typicalLegalStatus, legally protected area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalLegalStatus
Context triple: [Seabird Sanctuary, typicalLegalStatus, legally protected area]
  • A. usedLegalStatus
    Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
  • B. typicalLegalForm
    Indicates the standard or commonly used legal organizational form associated with an entity.
  • C. typicalBusinessStatus
    Indicates the usual or standard operational status or condition of a business (e.g., active, inactive, seasonal) under normal circumstances.
  • D. hasLegalStatus chosen
    Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
  • E. statutoryType
    Indicates the specific legal or statutory category under which something is formally classified or regulated.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f60911081909fa346a054f76c9f completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:26 p.m.