Triple
T8850423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxonburg Museum |
E210623
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Butler County |
E20762
|
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: Butler County | Statement: [Saxonburg Museum, county, Butler County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butler County Context triple: [Saxonburg Museum, county, Butler County]
-
A.
Butler County
chosen
Butler County is a county in western Pennsylvania, north of Pittsburgh, known for its mix of suburban communities, rural landscapes, and growing industrial and service sectors.
-
B.
Butler County
Butler County is a rural county in south-central Alabama known for its pine forests, small towns, and location along the Interstate 65 corridor.
-
C.
Butler County
Butler County is a rural county in north-central Iowa known for its agricultural landscape and small communities.
-
D.
Butler County
Butler County is a county in southwestern Ohio that includes communities such as Millville and is part of the Greater Cincinnati metropolitan area.
-
E.
Butler County
Butler County is a county in south-central Kansas, known for its mix of prairie landscapes, agriculture, and small communities within the Flint Hills region.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b165fb0c81908c79b6ade3cca20e |
completed | April 4, 2026, 6:36 a.m. |
Created at: March 30, 2026, 6:49 p.m.