Triple

T11519130
Position Surface form Disambiguated ID Type / Status
Subject Kimberly Park E273109 entity
Predicate name P16 FINISHED
Object Kimberly Park E273109 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: Kimberly Park | Statement: [Kimberly Park, name, Kimberly Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kimberly Park
Context triple: [Kimberly Park, name, Kimberly Park]
  • A. Kimberly Park chosen
    Kimberly Park is a public recreational park located in West Liberty, Iowa.
  • B. Rockwell Park
    Rockwell Park is a public recreational park in Bristol, Connecticut, known for its green spaces, walking trails, and community amenities.
  • C. Alondra Park
    Alondra Park is an unincorporated community and census-designated place in Los Angeles County, California, known for its residential neighborhoods and proximity to major South Bay cities.
  • D. Meriken Park
    Meriken Park is a waterfront park and popular tourist spot in Kobe, Japan, known for its modern architecture, harbor views, and landmarks like the Kobe Port Tower and the Kobe Maritime Museum.
  • E. Milpark
    Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62540ff4c81909206db0344842c3b completed April 20, 2026, 1:08 p.m.
Created at: April 8, 2026, 9:36 p.m.