Triple
T16089110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KFRR |
E390313
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Warren County |
E408743
|
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: Warren County | Statement: [KFRR, serves, Warren County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren County Context triple: [KFRR, serves, Warren County]
-
A.
Warren County
Warren County is a largely rural county in northwestern New Jersey known for its small towns, farmland, and role as a residential area for commuters in the New York metropolitan region.
-
B.
Warren County
chosen
Warren County is a county-level jurisdiction in Kentucky that includes the city of Bowling Green and oversees various local public facilities and services.
-
C.
Warren County
Warren County is a county in western Mississippi known for its seat, the historic river city of Vicksburg, a key site in the American Civil War.
-
D.
Warren County
Warren County is a rural county in northwestern Pennsylvania known for its forests, outdoor recreation, and location along the Allegheny River.
-
E.
Warren County
Warren County is a county in northeastern New York State known for encompassing much of the Adirondack Mountains and popular tourist destinations such as Lake George.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1845161908190adca2af94710b2cc |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5047a7c8190bac0ac9888547d16 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 4:59 a.m.