Triple
T10372649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus metropolitan area |
E244422
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Reynoldsburg, Ohio |
E261066
|
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: Reynoldsburg, Ohio | Statement: [Columbus metropolitan area, containsCity, Reynoldsburg, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynoldsburg, Ohio Context triple: [Columbus metropolitan area, containsCity, Reynoldsburg, Ohio]
-
A.
Reynoldsburg, Ohio
chosen
Reynoldsburg, Ohio is a suburban city near Columbus best known as the longtime home of Victoria’s Secret’s corporate headquarters.
-
B.
Miamisburg, Ohio
Miamisburg, Ohio is a suburban city in southwestern Ohio known for its historic downtown and proximity to Dayton in the Miami Valley region.
-
C.
Reading, Ohio
Reading, Ohio is a small suburban city located just north of Cincinnati in Hamilton County.
-
D.
Huber Heights, Ohio
Huber Heights, Ohio is a suburban city in the Dayton metropolitan area known for its residential communities and location within the Miami Valley region.
-
E.
Sagamore Hills, Ohio
Sagamore Hills, Ohio is a suburban community in northeastern Ohio known for its proximity to outdoor recreation areas, including nearby ski and nature destinations.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
Created at: April 6, 2026, 12:02 p.m.