Triple

T760772
Position Surface form Disambiguated ID Type / Status
Subject Saratoga County E16063 entity
Predicate contains P35 FINISHED
Object Stillwater
Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
 E91596 NE FINISHED

How this triple was built (4 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: Stillwater | Statement: [Saratoga County, contains, Stillwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stillwater
Context triple: [Saratoga County, contains, Stillwater]
  • A. Twain Harte
    Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
  • B. Enid
    Enid is a feminine given name of Welsh origin, traditionally associated with meanings like "soul" or "life."
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stillwater
Triple: [Saratoga County, contains, Stillwater]
Generated description
Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stillwater
Target entity description: Stillwater is a small town in eastern New York State known for its proximity to historic Revolutionary War sites near the Hudson River.
  • A. Twain Harte
    Twain Harte is a small mountain resort town in California’s Sierra Nevada known for its pine forests, outdoor recreation, and proximity to Yosemite National Park.
  • B. Enid
    Enid is a feminine given name of Welsh origin, traditionally associated with meanings like "soul" or "life."
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • F. None of above. chosen

Provenance (5 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_69a66673d6288190bb6a68c6c376016e completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66b18f198819086dac829b8779dfa completed March 3, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69a66b91da5081909963905631641e0f completed March 3, 2026, 5:03 a.m.
Created at: March 1, 2026, 7:37 p.m.