Triple
T10891239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perth County |
E257177
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Huron County |
E773826
|
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: Huron County | Statement: [Perth County, borderedBy, Huron County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huron County Context triple: [Perth County, borderedBy, Huron County]
-
A.
Huron County
chosen
Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
-
B.
Ottawa County
Ottawa County is a county in western Michigan known for its Lake Michigan shoreline, agricultural communities, and cities such as Holland and Grand Haven.
-
C.
Huron County, Michigan
Huron County, Michigan is a rural county located in the Thumb region of Michigan’s Lower Peninsula, known for its agricultural communities and Lake Huron shoreline.
-
D.
Otsego County
Otsego County is a rural county in central New York State known for its historic towns, including Cooperstown, home of the National Baseball Hall of Fame and Museum.
-
E.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63449892881909d361815cbfcdee5 |
completed | May 2, 2026, 5:28 p.m. |
Created at: April 8, 2026, 9:21 p.m.