Triple
T10591319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural and Industrial Museum |
E249995
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | York County region |
E754343
|
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: York County region | Statement: [Agricultural and Industrial Museum, regionServed, York County region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: York County region Context triple: [Agricultural and Industrial Museum, regionServed, York County region]
-
A.
York County
York County is a county in northern South Carolina that forms part of the greater Charlotte metropolitan region.
-
B.
York County
York County is a county in southeastern Virginia that forms part of the Hampton Roads metropolitan region along the Chesapeake Bay.
-
C.
York County
York County is a coastal county in southwestern Maine known for its historic towns, beaches, and role as one of the state's earliest settled regions.
-
D.
York County
chosen
York County was a former county in Ontario, Canada, that historically encompassed the area around present-day Toronto before being restructured into regional municipalities.
-
E.
York County
York County is a county in south-central Pennsylvania known for its mix of agricultural landscapes, historic towns, and growing suburban 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277c79808190acc872919eadd126 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e85c49c8190a580536be07c0405 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:40 p.m.