Triple

T616696
Position Surface form Disambiguated ID Type / Status
Subject Kensington E14419 entity
Predicate hasGreenSpace P1495 FINISHED
Object Hyde Park (western section) E71303 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: Hyde Park (western section) | Statement: [Kensington, hasGreenSpace, Hyde Park (western section)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyde Park (western section)
Context triple: [Kensington, hasGreenSpace, Hyde Park (western section)]
  • A. Hyde Park
    Hyde Park is a historic town in New York’s Hudson Valley best known as the longtime home of President Franklin D. Roosevelt and several notable Gilded Age estates.
  • B. Hyde Park
    Hyde Park is a historic central public park in Sydney, Australia, known for its tree-lined avenues, monuments, and recreational green space.
  • C. Hyde Park chosen
    Hyde Park is one of London’s largest and most famous royal parks, known for its expansive green spaces, recreational activities, and historic landmarks like Speakers’ Corner and the Serpentine.
  • D. Hyde Park
    "Hyde Park" is a Caroline-era comedy play by James Shirley, known for its witty depiction of London society and romantic intrigues set around the famous London park.
  • E. Hyde Park
    Hyde Park is a historic and upscale residential and shopping district located just southwest of downtown Tampa, Florida.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e22f3688190a512bec3f0347814 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a577891a148190ae1364191f7f63bb completed March 2, 2026, 11:42 a.m.
Created at: March 1, 2026, 7:35 p.m.