Triple
T10022917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State Route 48 |
E200652
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Kettering, Ohio |
E189742
|
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: Kettering, Ohio | Statement: [Ohio State Route 48, servesCity, Kettering, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio Context triple: [Ohio State Route 48, servesCity, Kettering, Ohio]
-
A.
Kettering, Ohio
chosen
Kettering, Ohio is a suburban city near Dayton known for its residential communities, parks, and role as a commercial and cultural hub in the Miami Valley region.
-
B.
Kent, Ohio
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
-
C.
Kings Mills, Ohio
Kings Mills, Ohio is a small unincorporated community in Warren County best known for hosting the College Football Hall of Fame before it moved to South Bend and later Atlanta.
-
D.
Austintown, Ohio
Austintown, Ohio is a suburban community near Youngstown known for its residential neighborhoods, schools, and role as part of the greater Mahoning Valley region.
-
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 (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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd7ae36c8190896946be065fbf78 |
completed | April 2, 2026, 1:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26abb0ab08190b5bcf101c5680f3c |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:53 p.m.