Triple

T17577752
Position Surface form Disambiguated ID Type / Status
Subject Region A E428115 entity
Predicate contains P35 FINISHED
Object Ivory Park NE NERFINISHED

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: Ivory Park | Statement: [Region A, contains, Ivory Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivory Park
Context triple: [Region A, contains, Ivory Park]
  • A. Ivory Park chosen
    Ivory Park is a densely populated township in the Midrand area of Gauteng, South Africa, known for its vibrant informal economy and predominantly low-income residential communities.
  • B. Hawthorne Park
    Hawthorne Park is a public recreational park located in the riverside suburb of Hawthorne in Brisbane, Queensland, Australia.
  • C. Bayland Park
    Bayland Park is a public recreational park in southwest Houston featuring sports fields, open green spaces, and community facilities.
  • D. Hagen Park
    Hagen Park is a public recreational park located in the city of Wilton Manors, Florida.
  • E. Irwin Park
    Irwin Park is a small historic urban park in Honolulu, Hawaii, known for its shaded green space amid the downtown waterfront area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cb40088190b726f2c026358cf2 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.