Triple
T4741614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion County, Kentucky |
E105256
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Lebanon, Kentucky |
E399959
|
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: Lebanon, Kentucky | Statement: [Marion County, Kentucky, largestCity, Lebanon, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebanon, Kentucky Context triple: [Marion County, Kentucky, largestCity, Lebanon, Kentucky]
-
A.
Lebanon, Kentucky
chosen
Lebanon, Kentucky is a small city in central Kentucky that serves as the county seat of Marion County and is known for its historic downtown and bourbon-related attractions.
-
B.
Hardin, Kentucky
Hardin, Kentucky is a small rural city located in Marshall County in western Kentucky.
-
C.
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.
-
D.
Brandenburg, Kentucky
Brandenburg, Kentucky is a small city along the Ohio River that serves as the administrative and commercial hub of Meade County.
-
E.
Franklin, Kentucky
Franklin, Kentucky is a small city in Simpson County known for its historic downtown, agricultural surroundings, and location near the Tennessee border.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a5f3548190a6acf1dcfd64d11d |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81a68c2081909048920f4469ecab |
completed | March 21, 2026, 11:31 a.m. |
Created at: March 20, 2026, 1:19 p.m.