Triple
T4258872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmel, New York |
E96050
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Secor
Lake Secor is a small residential lake community in the town of Carmel in Putnam County, New York.
|
E710762
|
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: Lake Secor | Statement: [Carmel, New York, hasLake, Lake Secor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Secor Context triple: [Carmel, New York, hasLake, Lake Secor]
-
A.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
B.
Lake Tiscapa
Lake Tiscapa is a volcanic crater lake in Managua, Nicaragua, historically significant as a scenic landmark and former site of presidential residences.
-
C.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
-
D.
Cossayuna Lake
Cossayuna Lake is a small, scenic freshwater lake in eastern upstate New York known for recreational activities like fishing, boating, and lakeside cottages.
-
E.
Lake Earl
Lake Earl is a large coastal lagoon and wildlife-rich wetland in far northern California, known as an important habitat for migratory birds and other species.
- 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: Lake Secor Triple: [Carmel, New York, hasLake, Lake Secor]
Generated description
Lake Secor is a small residential lake community in the town of Carmel in Putnam County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Secor Target entity description: Lake Secor is a small residential lake community in the town of Carmel in Putnam County, New York.
-
A.
Lake Judd
Lake Judd is a remote glacial lake in Tasmania’s Southwest National Park, known for its rugged wilderness setting and challenging hiking access.
-
B.
Lake Tiscapa
Lake Tiscapa is a volcanic crater lake in Managua, Nicaragua, historically significant as a scenic landmark and former site of presidential residences.
-
C.
Lake Audy
Lake Audy is a scenic lake in Manitoba, Canada, known for its wildlife viewing, camping, and recreational opportunities within Riding Mountain National Park.
-
D.
Cossayuna Lake
Cossayuna Lake is a small, scenic freshwater lake in eastern upstate New York known for recreational activities like fishing, boating, and lakeside cottages.
-
E.
Lake Earl
Lake Earl is a large coastal lagoon and wildlife-rich wetland in far northern California, known as an important habitat for migratory birds and other species.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc638e62608190958e90b07138a1cc |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc64bd6a088190b77e2709c76579e4 |
completed | April 1, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc66b0e1548190840e4335ff2b130f |
completed | April 1, 2026, 12:28 a.m. |
Created at: March 12, 2026, 11:06 p.m.