Triple
T5691703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Ohio |
E125440
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Carlisle, Ohio
Carlisle, Ohio is a small village in Warren and Montgomery counties known as a suburban community within the Dayton metropolitan area in southwestern Ohio.
|
E621319
|
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: Carlisle, Ohio | Statement: [Southwestern Ohio, hasCity, Carlisle, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlisle, Ohio Context triple: [Southwestern Ohio, hasCity, Carlisle, Ohio]
-
A.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
B.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
C.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
D.
Collins, Ohio
Collins, Ohio is an unincorporated rural community located within Huron County in the U.S. state of Ohio.
-
E.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
- 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: Carlisle, Ohio Triple: [Southwestern Ohio, hasCity, Carlisle, Ohio]
Generated description
Carlisle, Ohio is a small village in Warren and Montgomery counties known as a suburban community within the Dayton metropolitan area in southwestern Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlisle, Ohio Target entity description: Carlisle, Ohio is a small village in Warren and Montgomery counties known as a suburban community within the Dayton metropolitan area in southwestern Ohio.
-
A.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
B.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
C.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
D.
Collins, Ohio
Collins, Ohio is an unincorporated rural community located within Huron County in the U.S. state of Ohio.
-
E.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
- 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_69c7239e1ea481908c64d8a2d600aa30 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c724d740588190a4ed1aa532ee7335 |
completed | March 28, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725aedfd0819097ae603cc49ff9a8 |
completed | March 28, 2026, 12:49 a.m. |
Created at: March 22, 2026, 3:44 p.m.