Triple

T30058494
Position Surface form Disambiguated ID Type / Status
Subject Park Avenue (Winter Park, Florida) E763800 entity
Predicate streetscapeAmenity P45553 FINISHED
Object on-street parking 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: on-street parking | Statement: [Park Avenue (Winter Park, Florida), streetscapeAmenity, on-street parking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: streetscapeAmenity
Context triple: [Park Avenue (Winter Park, Florida), streetscapeAmenity, on-street parking]
  • A. amenity
    Indicates that one entity provides a useful facility, service, or feature that enhances the convenience or comfort of another entity.
  • B. amenityFocus
    Indicates a relationship where an amenity is specifically oriented toward, designed for, or primarily serving a particular focus or target (such as a user group, activity, or purpose).
  • C. hasCivicAmenity
    Indicates that an entity possesses, provides, or is associated with a public facility or service intended for community use.
  • D. amenityScope
    Indicates the range or extent of services, facilities, or conveniences that an amenity provides or applies to.
  • E. isPartOfStreetscape chosen
    Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
  • 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_69f224716378819087a722e487832b70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ca0e7848190a9d4d7ca97f081a7 completed May 2, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69f673c664f08190b4d66cdc305e10db completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 6:57 p.m.