Triple

T9078199
Position Surface form Disambiguated ID Type / Status
Subject Exhibition Road E217542 entity
Predicate near P350 FINISHED
Object Hyde Park 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 | Statement: [Exhibition Road, near, Hyde Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hyde Park
Context triple: [Exhibition Road, near, Hyde Park]
  • A. Hyde Park
    Hyde Park is a historic central public park in Sydney, Australia, known for its tree-lined avenues, monuments, and recreational green space.
  • B. 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.
  • C. Hyde Park
    Hyde Park is a historic and upscale residential and shopping district located just southwest of downtown Tampa, Florida.
  • D. Hyde Park
    Hyde Park is a historic neighborhood on Chicago’s South Side known for its cultural diversity, lakefront parks, and institutions like the University of Chicago and the Museum of Science and Industry.
  • E. 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.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017baebb881908cfecd3438a17166 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:12 p.m.