Triple

T37853646
Position Surface form Disambiguated ID Type / Status
Subject Astatula, Florida E944122 entity
Predicate waterRecreationAccess P8966 FINISHED
Object boating 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: boating | Statement: [Astatula, Florida, waterRecreationAccess, boating]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterRecreationAccess
Context triple: [Astatula, Florida, waterRecreationAccess, boating]
  • A. waterwayAccess
    Indicates that one location has direct access to a waterway (such as a river, canal, or sea route) that can be used for transport, navigation, or related activities.
  • B. recreationAccess chosen
    Indicates that one entity provides or has the ability to use recreational facilities, activities, or spaces associated with another entity.
  • C. hasFishingAccess
    Indicates that an entity is permitted or able to fish in or otherwise use a particular water body or fishing area.
  • D. hasWaterfrontAccessTo
    Indicates that one entity is directly adjacent to and can physically access a particular body of water, such as a lake, river, or ocean.
  • E. hasBoatRamp
    Indicates that a location provides a designated ramp or launch area for putting boats into the water or taking them out.
  • 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_69f76eed4d9c81908b1b71ba9e3b61fe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe6fea4a288190bf8615c5d6bf41b4 completed May 8, 2026, 11:21 p.m.
PD Predicate disambiguation batch_69fe6f774de08190975a2393b9a1fd22 completed May 8, 2026, 11:19 p.m.
Created at: May 3, 2026, 4:19 p.m.