Triple
T5296191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahoning County, Ohio |
E119860
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Poland, Ohio
Poland, Ohio is a small suburban village near Youngstown known for its historic homes, tree-lined streets, and role as one of the oldest settlements in northeastern Ohio.
|
E511977
|
NE FINISHED |
How this triple was built (4 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: Poland, Ohio | Statement: [Mahoning County, Ohio, contains, Poland, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poland, Ohio Context triple: [Mahoning County, Ohio, contains, Poland, Ohio]
-
A.
Peru, Ohio
Peru, Ohio is a small unincorporated community located in Huron County in the northern part of the U.S. state of Ohio.
-
B.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
-
C.
Olena, Ohio
Olena, Ohio is a small unincorporated community located in northern Ohio within Huron County.
-
D.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
E.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Poland, Ohio Triple: [Mahoning County, Ohio, contains, Poland, Ohio]
Generated description
Poland, Ohio is a small suburban village near Youngstown known for its historic homes, tree-lined streets, and role as one of the oldest settlements in northeastern Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poland, Ohio Target entity description: Poland, Ohio is a small suburban village near Youngstown known for its historic homes, tree-lined streets, and role as one of the oldest settlements in northeastern Ohio.
-
A.
Peru, Ohio
Peru, Ohio is a small unincorporated community located in Huron County in the northern part of the U.S. state of Ohio.
-
B.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
-
C.
Olena, Ohio
Olena, Ohio is a small unincorporated community located in northern Ohio within Huron County.
-
D.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
E.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
- F. None of above. chosen
Provenance (5 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8503cf908190b1f93fb10a33c49c |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1880bec88190a5b1ca453c783444 |
completed | March 21, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69bf19c8273081908a5138e9af921ec7 |
completed | March 21, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1a3049648190b5040e587671610a |
completed | March 21, 2026, 10:22 p.m. |
Created at: March 20, 2026, 1:53 p.m.