Triple
T10397742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Route 80 |
E245063
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | London, Kentucky |
E364086
|
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: London, Kentucky | Statement: [Kentucky Route 80, connectsCity, London, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London, Kentucky Context triple: [Kentucky Route 80, connectsCity, London, Kentucky]
-
A.
London, Kentucky
chosen
London, Kentucky is a small city in southeastern Kentucky that serves as a regional hub for government, commerce, and transportation.
-
B.
Lancaster, Kentucky
Lancaster, Kentucky is a small historic city in central Kentucky that serves as the county seat of Garrard County.
-
C.
Boston, Kentucky
Boston, Kentucky is a small unincorporated rural community located in Nelson County in the central part of the state.
-
D.
Lexington, Kentucky
Lexington, Kentucky is a major city in the Bluegrass region renowned as the "Horse Capital of the World" for its thoroughbred breeding and racing industry.
-
E.
Glasgow, Kentucky
Glasgow, Kentucky is a small city in Barren County known as a regional hub for commerce and healthcare in south-central Kentucky.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d0de448190b0bfd4d6c87d47fa |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc1eb7348190b9f3c473443bacf3 |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:07 p.m.