Triple

T83913
Position Surface form Disambiguated ID Type / Status
Subject Dutchess County E1687 entity
Predicate containsSettlement P847 FINISHED
Object Beacon
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
 E15760 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: Beacon | Statement: [Dutchess County, containsSettlement, Beacon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beacon
Context triple: [Dutchess County, containsSettlement, Beacon]
  • A. Chatham
    Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
  • B. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • C. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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: Beacon
Triple: [Dutchess County, containsSettlement, Beacon]
Generated description
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beacon
Target entity description: Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
  • A. Chatham
    Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
  • B. Crescent
    Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
  • C. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • E. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2567c90308190a9b989c586f7e559 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b014ab2c8190bcef8382280932dc completed Feb. 28, 2026, 9:06 a.m.
NEDg Description generation batch_69a2b0bd233c81908f3595abdfa51666 completed Feb. 28, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_69a2b122a168819088be9e5455a1aac1 completed Feb. 28, 2026, 9:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.