Triple
T21972254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leeds County |
E542617
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Grenville County |
—
|
NE NERFINISHED |
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: Grenville County | Statement: [Leeds County, borderedBy, Grenville County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grenville County Context triple: [Leeds County, borderedBy, Grenville County]
-
A.
Grenville County
chosen
Grenville County was a former county in eastern Ontario, Canada, that later became part of the United Counties of Leeds and Grenville.
-
B.
Burleigh County
Burleigh County is a county in central North Dakota that includes Bismarck, the state capital and its largest city.
-
C.
Runnels County
Runnels County is a rural county in west-central Texas known for its agricultural economy and small-town communities.
-
D.
Guysborough County
Guysborough County is a rural county in eastern Nova Scotia, Canada, known for its historic Black communities and coastal fishing villages along the Atlantic shore.
-
E.
Calhoun County
Calhoun County is a county in southern Michigan, United States, known for encompassing the city of Battle Creek and its surrounding communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124857dcc8190ab474cd8ab9c130a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.