Triple

T14762428
Position Surface form Disambiguated ID Type / Status
Subject City of Boca Raton, Florida E346899 entity
Predicate hasBeachfrontParks P50459 FINISHED
Object true 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: true | Statement: [City of Boca Raton, Florida, hasBeachfrontParks, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBeachfrontParks
Context triple: [City of Boca Raton, Florida, hasBeachfrontParks, true]
  • A. hasWaterfrontPark chosen
    Indicates that a place or area includes or is associated with a park located directly along a body of water.
  • B. hasBeach
    Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
  • C. hasBeachNearby
    Indicates that one location is situated close enough to another location to have convenient access to a beach.
  • D. hasBeachSection
    Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
  • E. isPublicBeach
    Indicates that a beach is designated and accessible for use by the general public, typically without exclusive private restrictions.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.