Triple
T8346796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barren River |
E196058
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Glasgow, Kentucky |
E346203
|
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: Glasgow, Kentucky | Statement: [Barren River, passesNear, Glasgow, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glasgow, Kentucky Context triple: [Barren River, passesNear, Glasgow, Kentucky]
-
A.
Glasgow, Kentucky
chosen
Glasgow, Kentucky is a small city in Barren County known as a regional hub for commerce and healthcare in south-central Kentucky.
-
B.
Oakland, Kentucky
Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
-
C.
Brownsville, Kentucky
Brownsville, Kentucky is a small city that serves as the county seat of Edmonson County and a gateway to nearby Mammoth Cave National Park.
-
D.
London, Kentucky
London, Kentucky is a small city in southeastern Kentucky that serves as a regional hub for government, commerce, and transportation.
-
E.
Greensburg, Kentucky
Greensburg, Kentucky is a small historic city in central Kentucky that serves as the county seat of Green County.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8013d81c81908da48466cffb3939 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc745f33c8190a043aff437874391 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.