Triple

T29953839
Position Surface form Disambiguated ID Type / Status
Subject Robson Bight (Michael Bigg) Ecological Reserve E760840 entity
Predicate marineAreaType P86884 FINISHED
Object no-take zone for most activities 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: no-take zone for most activities | Statement: [Robson Bight (Michael Bigg) Ecological Reserve, marineAreaType, no-take zone for most activities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marineAreaType
Context triple: [Robson Bight (Michael Bigg) Ecological Reserve, marineAreaType, no-take zone for most activities]
  • A. marineArea
    Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
  • B. marineAreaShare
    Indicates the proportion of a larger marine area that is occupied, controlled, or otherwise attributed to a specific entity.
  • C. seaAreaDesignation chosen
    Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
  • D. hasSeaAreaName
    Indicates that a sea area is associated with and identified by a specific name.
  • E. seaAreaA1Definition
    Indicates the defined spatial extent or boundary description of a specific sea area labeled A1.
  • 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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6783880608190906379178b865dc0 completed May 2, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 6:26 p.m.