Triple

T23301777
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt Act, 2005 E590320 entity
Predicate regionTypeProtected P59959 FINISHED
Object rural landscape 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: rural landscape | Statement: [Greenbelt Act, 2005, regionTypeProtected, rural landscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionTypeProtected
Context triple: [Greenbelt Act, 2005, regionTypeProtected, rural landscape]
  • A. sectorProtected
    Indicates that a particular sector or area is safeguarded from harm, access, or exploitation by some form of protection or regulation.
  • B. stateProtected
    Indicates that an entity is safeguarded or regulated under the laws, authority, or jurisdiction of a specific state.
  • C. isProtectedAreaOf chosen
    Indicates that a designated protected area (such as a park or reserve) is established to conserve and manage a specific geographic region or natural feature.
  • D. protectionType
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • E. protectedBy
    Indicates that one entity provides protection, defense, or safeguarding for 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d37fd08190ad2d199c54324c02 completed April 29, 2026, 5:27 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 5:04 p.m.