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.