Triple
T12151157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper Stadium |
E289455
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Franklin County |
E907203
|
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: Franklin County | Statement: [Cooper Stadium, owner, Franklin County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franklin County Context triple: [Cooper Stadium, owner, Franklin County]
-
A.
Franklin County
Franklin County is a largely rural county in northwestern Massachusetts known for its small towns, forests, and outdoor recreation along the Connecticut River.
-
B.
Franklin County
Franklin County is a rural county in northern New York State, located along the Canadian border and known for its small towns and portions of the Adirondack region.
-
C.
Franklin County
Franklin County is a county in southeastern Washington State known for its agricultural economy and inclusion in the Tri-Cities region.
-
D.
Franklin County
Franklin County is a county in southern Middle Tennessee known for its mix of small towns, outdoor recreation areas, and proximity to the Cumberland Plateau.
-
E.
Franklin County
chosen
Franklin County is a populous county in central Ohio that includes the state capital, Columbus, and its surrounding suburbs.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69aa2e88190aaa58468571d6dad |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.