Triple
T19203019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvania Schools |
E480155
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Lucas County |
—
|
NE NERFINISHED |
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: Lucas County | Statement: [Sylvania Schools, county, Lucas County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucas County Context triple: [Sylvania Schools, county, Lucas County]
-
A.
Lucas County
chosen
Lucas County is a county in northwestern Ohio that includes the city of Toledo as its county seat and largest urban center.
-
B.
Huron County
Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
-
C.
Huron County
Huron County is a county in northern Ohio known for its mix of small cities, rural communities, and agricultural land.
-
D.
Stark County
Stark County is a county in northeastern Ohio known for its seat in Canton and its role in the region’s industrial and political history.
-
E.
Stark County
Stark County is a county in southwestern North Dakota known for its seat in Dickinson and its role as a regional hub for agriculture, energy, and transportation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99a571c8190a1d53eb1994e0058 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:13 p.m.