Triple

T6487574
Position Surface form Disambiguated ID Type / Status
Subject Ustica E146551 entity
Predicate hasMarineReserveStatus P56408 FINISHED
Object yes 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: yes | Statement: [Ustica, hasMarineReserveStatus, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarineReserveStatus
Context triple: [Ustica, hasMarineReserveStatus, yes]
  • A. hasMarineReserve chosen
    Indicates that an entity possesses, includes, or is associated with a designated marine reserve area.
  • B. marineProtectedAreaOf
    Indicates that one entity is designated as a marine protected area that encompasses, is associated with, or provides protection for the other entity.
  • C. marineProtectedArea
    Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
  • D. hasMarineManagement
    Indicates that an entity exercises authority or responsibility over the planning, regulation, or stewardship of marine areas or resources.
  • E. marineProtectedAreaManagingCountry
    Indicates that a country is responsible for managing or overseeing a specific marine protected area.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a96a4048190a28dee5fd9258486 completed March 22, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69c06740bebc81909d9d6956baa2bcb9 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:52 p.m.