Triple
T4367248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Putnam Valley, New York |
E98805
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object |
Lake Oscawana
Lake Oscawana is a popular recreational lake in Putnam Valley, New York, known for boating, fishing, and its scenic wooded surroundings.
|
E435032
|
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 Oscawana | Statement: [Putnam Valley, New York, hasBodyOfWater, Lake Oscawana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Oscawana Context triple: [Putnam Valley, New York, hasBodyOfWater, Lake Oscawana]
-
A.
Osceola Lake
Osceola Lake is a small hamlet within the Town of Yorktown in Westchester County, New York.
-
B.
Lake Monroe
Lake Monroe is a large freshwater lake in central Florida that serves as a prominent widening of the St. Johns River and a key recreational and ecological area.
-
C.
Lake Monroe
Lake Monroe is a large man-made reservoir in south-central Indiana known for boating, fishing, and outdoor recreation.
-
D.
Lake Martin
Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, and lakeside communities.
-
E.
Wilson Lake
Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
- 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 Oscawana Triple: [Putnam Valley, New York, hasBodyOfWater, Lake Oscawana]
Generated description
Lake Oscawana is a popular recreational lake in Putnam Valley, New York, known for boating, fishing, and its scenic wooded surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Oscawana Target entity description: Lake Oscawana is a popular recreational lake in Putnam Valley, New York, known for boating, fishing, and its scenic wooded surroundings.
-
A.
Osceola Lake
Osceola Lake is a small hamlet within the Town of Yorktown in Westchester County, New York.
-
B.
Lake Monroe
Lake Monroe is a large freshwater lake in central Florida that serves as a prominent widening of the St. Johns River and a key recreational and ecological area.
-
C.
Lake Monroe
Lake Monroe is a large man-made reservoir in south-central Indiana known for boating, fishing, and outdoor recreation.
-
D.
Lake Martin
Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, and lakeside communities.
-
E.
Wilson Lake
Wilson Lake is a man-made reservoir in northern Alabama known for hydroelectric power generation, navigation, and recreational activities along the Tennessee River.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50838188190b5b698d4bd2b5784 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e57d85808190a3a4418bbd2a66c8 |
completed | March 14, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e5eb85dc819087ce983114208231 |
completed | March 14, 2026, 10:49 p.m. |
Created at: March 12, 2026, 11:17 p.m.