Triple
T9135554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalahari Resorts Sandusky |
E219192
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Sandusky |
E44706
|
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: Sandusky | Statement: [Kalahari Resorts Sandusky, city, Sandusky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandusky Context triple: [Kalahari Resorts Sandusky, city, Sandusky]
-
A.
Sandusky, Ohio
chosen
Sandusky, Ohio is a city on the shores of Lake Erie best known as a regional tourist hub and home to the Cedar Point amusement park.
-
B.
Johnstown
Johnstown is a small community in eastern Ontario, Canada, located along the St. Lawrence River near the Canada–U.S. border.
-
C.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
D.
Ashtabula, Ohio
Ashtabula, Ohio is a small industrial and port city on Lake Erie in northeastern Ohio, historically known for its shipping industry and diverse immigrant communities.
-
E.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8df68108190bb2df0583c5ad481 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05452acb481909fcf5f826caa6ae6 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:18 p.m.