Triple
T6572986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren County, Ohio |
E155486
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lebanon, Ohio |
E566227
|
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: Lebanon, Ohio | Statement: [Warren County, Ohio, contains, Lebanon, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lebanon, Ohio Context triple: [Warren County, Ohio, contains, Lebanon, Ohio]
-
A.
Lebanon, Ohio
chosen
Lebanon, Ohio is a historic small city in Warren County known for its preserved 19th-century downtown, antique shops, and role as a regional cultural and commercial center between Cincinnati and Dayton.
-
B.
Leetonia, Ohio
Leetonia, Ohio is a small village in northeastern Ohio known historically for its coal mining and iron industry roots.
-
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.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
E.
New Lebanon, Ohio
New Lebanon, Ohio is a small village in southwestern Ohio that functions as a residential community within the Dayton metropolitan area.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d368daac8190b08158f7ea8102ac |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 1:53 p.m.