Triple
T2409305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin County, Ohio |
E50348
|
entity |
| Predicate | contains |
P35
|
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: [Franklin County, Ohio, contains, Reynoldsburg, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynoldsburg, Ohio Context triple: [Franklin County, Ohio, contains, 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.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc925c6e481909bfd45b361d21963 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af9060a6b88190b80e5fb0970957e1 |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 4, 2026, 7:58 p.m.