Triple

T3802979
Position Surface form Disambiguated ID Type / Status
Subject Kensington High Street E91733 entity
Predicate hasNearbyAttraction P2064 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: [Kensington High Street, hasNearbyAttraction, Hyde Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyde Park
Context triple: [Kensington High Street, hasNearbyAttraction, Hyde Park]
  • A. 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.
  • 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
    Hyde Park is a historic central public park in Sydney, Australia, known for its tree-lined avenues, monuments, and recreational green space.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b74b0cd08190bebb483a72d0b59a completed March 14, 2026, 7:30 p.m.
Created at: March 9, 2026, 3:15 p.m.