Triple

T10075998
Position Surface form Disambiguated ID Type / Status
Subject Copake, New York E213757 entity
Predicate hasPart P35 FINISHED
Object Craryville
Craryville is a small hamlet in Columbia County, New York, known as one of the communities within the town of Copake.
E840401 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: Craryville | Statement: [Copake, New York, hasPart, Craryville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craryville
Context triple: [Copake, New York, hasPart, Craryville]
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Pottageville
    Pottageville is a small rural community in Ontario, Canada, known for its agricultural surroundings and proximity to the Oak Ridges Moraine.
  • C. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • D. Longaville
    Longaville is one of the three lords attending King Navarre in Shakespeare’s comedy *Love’s Labour’s Lost*, known for his vow of scholarly abstinence that is soon undermined by love.
  • E. White Haven
    White Haven is a coastal town in Cumbria, England, known for its historic harbor and Georgian architecture.
  • 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: Craryville
Triple: [Copake, New York, hasPart, Craryville]
Generated description
Craryville is a small hamlet in Columbia County, New York, known as one of the communities within the town of Copake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Craryville
Target entity description: Craryville is a small hamlet in Columbia County, New York, known as one of the communities within the town of Copake.
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Pottageville
    Pottageville is a small rural community in Ontario, Canada, known for its agricultural surroundings and proximity to the Oak Ridges Moraine.
  • C. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • D. Longaville
    Longaville is one of the three lords attending King Navarre in Shakespeare’s comedy *Love’s Labour’s Lost*, known for his vow of scholarly abstinence that is soon undermined by love.
  • E. White Haven
    White Haven is a coastal town in Cumbria, England, known for its historic harbor and Georgian architecture.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b649b7488190ad765d4ee6eac5d7 completed April 5, 2026, 7:21 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 8:59 p.m.