Triple

T26132515
Position Surface form Disambiguated ID Type / Status
Subject City of Chandler E659289 entity
Predicate hasParksAndRecreationSystem P12330 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 Chandler, hasParksAndRecreationSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParksAndRecreationSystem
Context triple: [City of Chandler, hasParksAndRecreationSystem, true]
  • A. hasParksAndRecreation chosen
    Indicates that an entity is associated with or provides parks and recreational facilities or services.
  • B. hasParks
    Indicates that one entity possesses, contains, or is associated with one or more parks.
  • C. hasParkDistrict
    Indicates that an entity is associated with, located within, or administered by a specific park district.
  • D. isUrbanParkSystem
    Indicates that an entity constitutes or belongs to a designated system or network of urban parks within a city or metropolitan area.
  • E. isWithinParkSystem
    Indicates that one area, facility, or feature is located inside and belongs to a designated park system.
  • 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f6c49627908190b3553474c7c3072b completed May 3, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69f6c3f23ae081909a52801266063a3c completed May 3, 2026, 3:41 a.m.
Created at: April 26, 2026, 8:15 p.m.