Triple

T760785
Position Surface form Disambiguated ID Type / Status
Subject Saratoga County E16063 entity
Predicate contains P35 FINISHED
Object Saratoga E45953 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: Saratoga | Statement: [Saratoga County, contains, Saratoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saratoga
Context triple: [Saratoga County, contains, Saratoga]
  • A. Saratoga Springs, New York chosen
    Saratoga Springs, New York is a historic upstate city renowned for its mineral springs, thoroughbred horse racing at Saratoga Race Course, and vibrant cultural and downtown scene.
  • B. Yorktown, New York
    Yorktown, New York is a suburban town in the Hudson Valley region north of New York City, known for its residential communities, parks, and historic sites.
  • C. Ticonderoga
    Ticonderoga is a historic fort and strategic military site in upstate New York that played a key role in both the French and Indian War and the American Revolutionary War.
  • D. Belmont
    Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
  • E. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a68158508190998da10e69252662 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e44b9c88190a4481c28499860d7 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.