Triple

T6558886
Position Surface form Disambiguated ID Type / Status
Subject Babylon, New York E152522 entity
Predicate contains P35 FINISHED
Object Deer Park, New York E198515 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: Deer Park, New York | Statement: [Babylon, New York, contains, Deer Park, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deer Park, New York
Context triple: [Babylon, New York, contains, Deer Park, New York]
  • A. Deer Park, New York chosen
    Deer Park, New York is a suburban hamlet in the town of Babylon on Long Island, known for its residential neighborhoods and local commercial centers.
  • B. Deer Park
    Deer Park is the historical site at Sarnath near Varanasi, India, where Gautama Buddha is believed to have delivered his first sermon after attaining enlightenment.
  • C. Deer Park
    Deer Park is a public recreational and wildlife area in Cuttack, India, known for housing deer and providing green space for visitors.
  • D. Deer Park
    Deer Park is a historic enclosed area within Windsor Great Park in Berkshire, England, traditionally used for keeping and observing deer amid landscaped parkland.
  • E. Deer Park
    Deer Park is a regional bottled spring water brand in the United States owned and distributed by Nestlé Waters.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae202e508190a08a0c0584648b83 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:52 p.m.