Triple

T7740022
Position Surface form Disambiguated ID Type / Status
Subject Fullerton E175481 entity
Predicate hasPark P105 FINISHED
Object Hillcrest Park E598248 NE 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: Hillcrest Park | Statement: [Fullerton, hasPark, Hillcrest Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillcrest Park
Context triple: [Fullerton, hasPark, Hillcrest Park]
  • A. Hillcrest Park
    Hillcrest Park is a popular scenic park in Thunder Bay, Ontario, known for its panoramic views of the city and Lake Superior.
  • B. Hillcrest Park chosen
    Hillcrest Park is a historic public park in Fullerton, California, known for its scenic hillsides, walking trails, and community recreation areas.
  • C. Hillcrest Community Park
    Hillcrest Community Park is a public recreational park in Concord, California, offering open green spaces and outdoor amenities for local residents and visitors.
  • D. Rockwell Park
    Rockwell Park is a public recreational park in Bristol, Connecticut, known for its green spaces, walking trails, and community amenities.
  • E. Fairview Park
    Fairview Park is a public recreational park located in the suburb of Hawthorn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d181f4123c8190a15ee03b3156c6fd completed April 4, 2026, 9:26 p.m.
Created at: March 27, 2026, 4:07 p.m.