Triple
T5691688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Ohio |
E125440
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Wilmington, Ohio
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
|
E597370
|
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: Wilmington, Ohio | Statement: [Southwestern Ohio, hasCity, Wilmington, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmington, Ohio Context triple: [Southwestern Ohio, hasCity, Wilmington, Ohio]
-
A.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
B.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
C.
Fremont, Ohio
Fremont, Ohio is a small city in northern Ohio best known as the longtime home and burial place of U.S. President Rutherford B. Hayes.
-
D.
Newark, Ohio
Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
-
E.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
- 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: Wilmington, Ohio Triple: [Southwestern Ohio, hasCity, Wilmington, Ohio]
Generated description
Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilmington, Ohio Target entity description: Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
-
A.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
B.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
C.
Fremont, Ohio
Fremont, Ohio is a small city in northern Ohio best known as the longtime home and burial place of U.S. President Rutherford B. Hayes.
-
D.
Newark, Ohio
Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
-
E.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e500ec8190bfda4f6a818aa5dc |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fa576888190a3fd0fb3eac72a3f |
completed | March 27, 2026, 10:44 a.m. |
| NEDg | Description generation | batch_69c66032e6dc8190a6e250750c9dc88f |
completed | March 27, 2026, 10:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c660eb84b481909099ef2f473b296e |
completed | March 27, 2026, 10:50 a.m. |
Created at: March 22, 2026, 3:44 p.m.