Triple

T15722210
Position Surface form Disambiguated ID Type / Status
Subject Warren County E381123 entity
Predicate contains P35 FINISHED
Object Blairstown
Blairstown is a small rural township in northwestern New Jersey known for its historic village center and scenic Delaware River Valley surroundings.
E1174455 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: Blairstown | Statement: [Warren County, contains, Blairstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blairstown
Context triple: [Warren County, contains, Blairstown]
  • A. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • B. Poultney
    Poultney is a small town in southwestern Vermont known for its rural character, historic village center, and proximity to the New York state border.
  • C. Gerrardstown
    Gerrardstown is a small unincorporated community in Berkeley County, West Virginia, known for its rural character and historic roots.
  • D. Cowansville
    Cowansville is a locality that serves as one of the constituent subdivisions within the municipality of Vaux-sur-Sûre in Belgium.
  • E. Cowansville
    Cowansville is a small city in southern Quebec, Canada, known for its manufacturing sector and proximity to the Eastern Townships’ lakes and outdoor recreation areas.
  • 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: Blairstown
Triple: [Warren County, contains, Blairstown]
Generated description
Blairstown is a small rural township in northwestern New Jersey known for its historic village center and scenic Delaware River Valley surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blairstown
Target entity description: Blairstown is a small rural township in northwestern New Jersey known for its historic village center and scenic Delaware River Valley surroundings.
  • A. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • B. Poultney
    Poultney is a small town in southwestern Vermont known for its rural character, historic village center, and proximity to the New York state border.
  • C. Gerrardstown
    Gerrardstown is a small unincorporated community in Berkeley County, West Virginia, known for its rural character and historic roots.
  • D. Cowansville
    Cowansville is a locality that serves as one of the constituent subdivisions within the municipality of Vaux-sur-Sûre in Belgium.
  • E. Cowansville
    Cowansville is a small city in southern Quebec, Canada, known for its manufacturing sector and proximity to the Eastern Townships’ lakes and outdoor recreation areas.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82f464008190ae0e79f50b9b3eb3 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:45 a.m.