Triple
T18384516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion micropolitan area |
E446545
|
entity |
| Predicate | principalCity |
P3940
|
FINISHED |
| Object | Marion, Ohio |
—
|
NE NERFINISHED |
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: Marion, Ohio | Statement: [Marion micropolitan area, principalCity, Marion, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marion, Ohio Context triple: [Marion micropolitan area, principalCity, Marion, Ohio]
-
A.
Marion, Ohio
chosen
Marion, Ohio is a small city in north-central Ohio best known as the longtime home and final resting place of U.S. President Warren G. Harding.
-
B.
Marietta, Ohio
Marietta, Ohio is a historic city in southeastern Ohio known as the first permanent settlement of the Northwest Territory, located along the Ohio and Muskingum Rivers.
-
C.
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.
-
D.
St. Marys, Ohio
St. Marys, Ohio is a small city in western Ohio known for its proximity to Grand Lake St. Marys and its historic canal-era heritage.
-
E.
Hilliard, Ohio
Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.