Triple
T6745406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Lurleen State Park |
E154197
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Lake Lurleen |
E626862
|
NE FINISHED |
How this triple was built (2 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 Lurleen | Statement: [Lake Lurleen State Park, hasBodyOfWater, Lake Lurleen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lurleen Context triple: [Lake Lurleen State Park, hasBodyOfWater, Lake Lurleen]
-
A.
Lake Lurleen
chosen
Lake Lurleen is a reservoir in Tuscaloosa County, Alabama, best known as the central feature and namesake of Lake Lurleen State Park.
-
B.
Lake Martin
Lake Martin is a large, man-made reservoir in central Alabama known for its scenic shoreline, recreational boating, and lakeside communities.
-
C.
Lake Wilcox
Lake Wilcox is a kettle lake in Richmond Hill, Ontario, known as a popular local spot for recreation, nature viewing, and waterfront parks.
-
D.
Lake Barkley
Lake Barkley is a large reservoir in western Kentucky and Tennessee known for boating, fishing, and recreation as part of the Land Between the Lakes region.
-
E.
Lake Eufaula
Lake Eufaula is a large reservoir on the Chattahoochee River along the Alabama–Georgia border, popular for fishing, boating, and other recreational activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b74ae081908575c4e47c0ef297 |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7510b2ad88190a48ce74631d321e6 |
completed | March 28, 2026, 3:54 a.m. |
Created at: March 27, 2026, 2:10 p.m.