Triple

T2167749
Position Surface form Disambiguated ID Type / Status
Subject University of Chicago Law School E46949 entity
Predicate campus P269 FINISHED
Object Hyde Park E56170 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: [University of Chicago Law School, campus, Hyde Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hyde Park
Context triple: [University of Chicago Law School, campus, 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 chosen
    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 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_69a88a184cbc8190877791f6552c2484 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbeac9d688190bfa68715e173771e completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f26334819095202544d37e6850 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.