Triple
T19777370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAH |
E475036
|
entity |
| Predicate | locatedInCity |
P40
|
FINISHED |
| Object | Paducah |
—
|
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: Paducah | Statement: [PAH, locatedInCity, Paducah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paducah Context triple: [PAH, locatedInCity, Paducah]
-
A.
Paducah
chosen
Paducah is a small riverfront city in western Kentucky known for its vibrant arts scene, historic downtown, and role as a regional cultural hub.
-
B.
Paducah micropolitan area
The Paducah micropolitan area is a small urban-centered region in western Kentucky anchored by the city of Paducah and its surrounding communities.
-
C.
Louisville
Louisville is a historic town in eastern Georgia that briefly served as the state’s capital in the late 18th century.
-
D.
Louisville
Louisville is a small city in Colorado known for its high quality of life, historic downtown, and proximity to the Rocky Mountains.
-
E.
Paris, Kentucky
Paris, Kentucky is a small historic city in Bourbon County known for its role in the heart of Kentucky’s Bluegrass horse country and its preserved 19th-century architecture.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65361a8e08190b52944aab25e45fa |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.