Triple
T20802898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner University |
E512083
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Lake Wales |
—
|
NE NERFINISHED |
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 Wales | Statement: [Warner University, city, Lake Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Wales Context triple: [Warner University, city, Lake Wales]
-
A.
Lake Wales, Florida
chosen
Lake Wales, Florida is a small central Florida city known for its historic Bok Tower Gardens and scenic location on the Lake Wales Ridge.
-
B.
Lake Welaka
Lake Welaka is the historical name for Lake George, a large and prominent freshwater lake on the St. Johns River in northeastern Florida.
-
C.
Lake Carey
Lake Carey is a natural freshwater lake and popular recreational spot in northeastern Pennsylvania known for fishing, boating, and seasonal cottages.
-
D.
Lake Apopka
Lake Apopka is one of central Florida’s largest lakes, historically known for its rich wildlife and ongoing environmental restoration efforts following decades of pollution.
-
E.
Lake Weir
Lake Weir is a large freshwater lake in Marion County, central Florida, known for recreation such as boating, fishing, and lakeside communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2b207c48190a9ca5895bdf85245 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:39 p.m.