Triple
T23398570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Park |
E559432
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fort Thomas, Kentucky |
—
|
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: Fort Thomas, Kentucky | Statement: [Tower Park, locatedIn, Fort Thomas, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Thomas, Kentucky Context triple: [Tower Park, locatedIn, Fort Thomas, Kentucky]
-
A.
Fort Thomas, Kentucky
chosen
Fort Thomas, Kentucky is a suburban city in northern Kentucky, just south of Cincinnati, known for its historic military fort roots and residential character.
-
B.
Jeffersontown, Kentucky
Jeffersontown, Kentucky is a suburban city in the Louisville metropolitan area known for its residential communities and local commerce.
-
C.
Kingston, Kentucky
Kingston, Kentucky is a small unincorporated community in Madison County that lies between Richmond and Berea in central Kentucky.
-
D.
Tompkinsville, Kentucky
Tompkinsville, Kentucky is a small city in south-central Kentucky known as the administrative and commercial center of Monroe County.
-
E.
Burnside, Kentucky
Burnside, Kentucky is a small city in south-central Kentucky known for its location on Lake Cumberland and its history as a former lumber and railroad town.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.