Triple

T11715987
Position Surface form Disambiguated ID Type / Status
Subject Park Beach E278499 entity
Predicate hasPatrolledArea P99232 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: [Park Beach, hasPatrolledArea, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPatrolledArea
Context triple: [Park Beach, hasPatrolledArea, yes]
  • A. hasProtectedAreaAccess
    Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
  • B. patrolledBy
    Indicates that an area, route, or domain is regularly monitored or guarded by a specific agent or group.
  • C. isPatrolled chosen
    Indicates that an entity is regularly monitored or guarded by an agent or system through patrol activities.
  • D. hasProtectedArea
    Indicates that an entity possesses, includes, or is associated with a designated protected area for conservation or restricted use.
  • E. hasObservationArea
    Indicates that an entity possesses or includes a designated area from which observations or monitoring activities are conducted.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c10d988190842acd824135cf15 completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7d483081909c2a101087515d74 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.