Triple

T6675588
Position Surface form Disambiguated ID Type / Status
Subject Warren County, New York E151842 entity
Predicate contains P35 FINISHED
Object Town of Hague
The Town of Hague is a small Adirondack community on the shores of Lake George in upstate New York, known for its scenic natural beauty and outdoor recreation.
 E612360 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: Town of Hague | Statement: [Warren County, New York, contains, Town of Hague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Town of Hague
Context triple: [Warren County, New York, contains, Town of Hague]
  • A. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • B. Windmill City
    Windmill City is a nickname for Batavia, Illinois, reflecting its historic association with windmill manufacturing and numerous preserved windmills.
  • C. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • D. Houthaven
    Houthaven is a former industrial harbor area in Amsterdam that has been redeveloped into a modern residential and mixed-use waterfront neighborhood.
  • E. Haddon
    Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
  • 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: Town of Hague
Triple: [Warren County, New York, contains, Town of Hague]
Generated description
The Town of Hague is a small Adirondack community on the shores of Lake George in upstate New York, known for its scenic natural beauty and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Town of Hague
Target entity description: The Town of Hague is a small Adirondack community on the shores of Lake George in upstate New York, known for its scenic natural beauty and outdoor recreation.
  • A. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • B. Windmill City
    Windmill City is a nickname for Batavia, Illinois, reflecting its historic association with windmill manufacturing and numerous preserved windmills.
  • C. King’s Town
    King’s Town is the former name of Kingston, the capital and largest city of Jamaica.
  • D. Houthaven
    Houthaven is a former industrial harbor area in Amsterdam that has been redeveloped into a modern residential and mixed-use waterfront neighborhood.
  • E. Haddon
    Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f3021481908c2599349eb6ea07 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a30b7481908c36ff9035f62731 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6faa22e748190ab7a06ef84d695f6 completed March 27, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69c6fb85632081908bbb66ea35ce97c8 completed March 27, 2026, 9:49 p.m.
Created at: March 27, 2026, 2:03 p.m.