Triple
T10965476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford County |
E259083
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Perth County |
E257177
|
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: Perth County | Statement: [Oxford County, borderedBy, Perth County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perth County Context triple: [Oxford County, borderedBy, Perth County]
-
A.
Perth County
chosen
Perth County is a predominantly rural county in southwestern Ontario, Canada, known for its agricultural landscape and for encompassing the city of Stratford.
-
B.
Talbot County
Talbot County is a county in west-central Georgia, United States, known for its rural character and historic small towns such as Talbotton.
-
C.
Talbot County
Talbot County is a county on Maryland’s Eastern Shore known for its historic towns, waterfront communities, and maritime heritage.
-
D.
Cabell County
Cabell County is a county in western West Virginia best known for encompassing the city of Huntington, a regional economic and cultural center.
-
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 (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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77148c4588190ad0f2b54ee4bab98 |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d77277108190979f1b1edeac8964 |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.