Triple
T15862286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will County |
E384617
|
entity |
| Predicate | borderedByCounty |
P6346
|
FINISHED |
| Object | Grundy County |
E751586
|
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: Grundy County | Statement: [Will County, borderedByCounty, Grundy County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grundy County Context triple: [Will County, borderedByCounty, Grundy County]
-
A.
Grundy County
Grundy County is a rural county in central Iowa known for its agricultural landscape and small communities.
-
B.
Grundy County
chosen
Grundy County is a county in northeastern Illinois known for its mix of rural communities, agriculture, and growing exurban areas southwest of the Chicago metropolitan region.
-
C.
Marshall County
Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
-
D.
Marshall County
Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
-
E.
Marshall County
Marshall County is a rural county in northwestern Minnesota known for its agricultural landscape and small 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555c75688190aeae5bcf5bb92bb7 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ec9fb3881908df8d3d318cbd238 |
completed | May 10, 2026, 11:40 a.m. |
Created at: April 10, 2026, 4:50 a.m.