Triple
T12978055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crest Hill, Illinois |
E321580
|
entity |
| Predicate | locatedInCounty |
P40
|
FINISHED |
| Object | Will County |
E384617
|
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: Will County | Statement: [Crest Hill, Illinois, locatedInCounty, Will County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will County Context triple: [Crest Hill, Illinois, locatedInCounty, Will County]
-
A.
Will County
chosen
Will County is a county in northeastern Illinois that includes the city of Joliet and forms part of the Chicago metropolitan area.
-
B.
Rock Island County
Rock Island County is a county in northwestern Illinois along the Mississippi River, known for encompassing cities such as Moline and Rock Island.
-
C.
Franklin County, Illinois
Franklin County, Illinois is a rural county in southern Illinois known historically for its coal mining communities and small towns such as Benton and West Frankfort.
-
D.
Whiteside County
Whiteside County is a county in northwestern Illinois known for its mix of small rural communities and agricultural landscapes.
-
E.
Rock County
Rock County is a county in southwestern Minnesota known for its agricultural landscape and small rural 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d6fde508190865a8e3e391fdf5e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 9, 2026, 8:38 p.m.