Triple
T10757130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McAfee, Kentucky |
E253725
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | McAfee, Kentucky |
E253725
|
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: McAfee, Kentucky | Statement: [McAfee, Kentucky, hasName, McAfee, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McAfee, Kentucky Context triple: [McAfee, Kentucky, hasName, McAfee, Kentucky]
-
A.
McAfee, Kentucky
chosen
McAfee, Kentucky is a small unincorporated rural community located in Mercer County in the central part of the state.
-
B.
Murray, Kentucky
Murray, Kentucky is a small city in southwestern Kentucky best known as the home of Murray State University and for its strong college-town atmosphere.
-
C.
Muldraugh, Kentucky
Muldraugh, Kentucky is a small city in north-central Kentucky known for its proximity to Fort Knox and its location along U.S. Route 31W.
-
D.
Wilmore, Kentucky
Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
-
E.
Kevil, Kentucky
Kevil, Kentucky is a small rural city in western Kentucky known for its proximity to the Paducah Gaseous Diffusion Plant and its agricultural surroundings.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9fded88190940df48344fc368e |
completed | April 9, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84a63de0819085f1e982c8348811 |
completed | April 14, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:15 p.m.