Triple

T30333797
Position Surface form Disambiguated ID Type / Status
Subject Campton Township, Kane County, Illinois E771559 entity
Predicate hasParksAndPreserves P22590 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: [Campton Township, Kane County, Illinois, hasParksAndPreserves, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParksAndPreserves
Context triple: [Campton Township, Kane County, Illinois, hasParksAndPreserves, yes]
  • A. hasParks chosen
    Indicates that one entity possesses, contains, or is associated with one or more parks.
  • B. hasParksAndLakes
    Indicates that the subject possesses or includes both parks and lakes within its area or domain.
  • C. hasRegionalPark
    Indicates that a place or administrative area contains or is served by a designated regional park.
  • D. hasRegionalParkSystem
    Indicates that an entity possesses, manages, or is served by an organized system of regional parks.
  • E. hasProvinceParkSystem
    Indicates that a province maintains and administers an official system of provincial parks.
  • 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
Created at: April 29, 2026, 7:53 p.m.