Triple
T21189302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwood County |
E522169
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Greenwood
Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
|
E1470883
|
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 Greenwood | Statement: [Greenwood County, hasLake, Lake Greenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Greenwood Context triple: [Greenwood County, hasLake, Lake Greenwood]
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Lake Pleasant
Lake Pleasant is a large recreational reservoir in central Arizona known for boating, fishing, and outdoor activities within the Phoenix metropolitan area.
-
C.
Lake Pleasant
Lake Pleasant is a small town in New York’s Adirondack region that serves as the governmental and administrative center of Hamilton County.
-
D.
Lake Herman
Lake Herman is a natural glacial lake in eastern South Dakota known for recreation such as fishing, boating, and camping within Lake Herman State Park.
-
E.
Lake Merwin
Lake Merwin is a large reservoir on the Lewis River in southwestern Washington State, popular for boating, fishing, and other outdoor recreation.
- 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 Greenwood Triple: [Greenwood County, hasLake, Lake Greenwood]
Generated description
Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Greenwood Target entity description: Lake Greenwood is a large man-made reservoir in South Carolina known for boating, fishing, and lakeside recreation.
-
A.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
B.
Lake Pleasant
Lake Pleasant is a large recreational reservoir in central Arizona known for boating, fishing, and outdoor activities within the Phoenix metropolitan area.
-
C.
Lake Pleasant
Lake Pleasant is a small town in New York’s Adirondack region that serves as the governmental and administrative center of Hamilton County.
-
D.
Lake Herman
Lake Herman is a natural glacial lake in eastern South Dakota known for recreation such as fishing, boating, and camping within Lake Herman State Park.
-
E.
Lake Merwin
Lake Merwin is a large reservoir on the Lewis River in southwestern Washington State, popular for boating, fishing, and other outdoor recreation.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e733350e588190a31467758a8afa5c |
completed | April 21, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097581c3c08190abbdb9ec0b915a9f |
completed | May 17, 2026, 8 a.m. |
| NEDg | Description generation | batch_6a097652819481908da15da1fd77160f |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09772e67708190856224f80cf22106 |
completed | May 17, 2026, 8:07 a.m. |
Created at: April 16, 2026, 3:07 p.m.