Triple

T16138868
Position Surface form Disambiguated ID Type / Status
Subject Bemis Heights E391601 entity
Predicate partOf P40 FINISHED
Object Saratoga battlefield E389101 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 battlefield | Statement: [Bemis Heights, partOf, Saratoga battlefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saratoga battlefield
Context triple: [Bemis Heights, partOf, Saratoga battlefield]
  • A. Saratoga Battlefield chosen
    Saratoga Battlefield is a historic Revolutionary War site in upstate New York where American forces won a decisive victory over the British in 1777.
  • B. White Plains battlefield
    The White Plains battlefield is a Revolutionary War site in New York where General George Washington’s Continental Army fought British forces in October 1776.
  • C. Belmont battlefield
    Belmont battlefield is a historic South African site where a significant early engagement of the Second Boer War took place between British and Boer forces.
  • D. Saratoga
    Saratoga is a coastal suburb on the Central Coast of New South Wales, Australia, known for its waterfront setting on Brisbane Water.
  • E. Saratoga
    Saratoga is an affluent suburban city in California’s Silicon Valley, known for its upscale residential neighborhoods, wineries, and highly ranked schools.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.