Triple
T1515002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles F. Kettering |
E32098
|
entity |
| Predicate | namesake |
P63
|
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: [Charles F. Kettering, namesake, Kettering, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettering, Ohio Context triple: [Charles F. Kettering, namesake, 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.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
D.
Centerville, Ohio
Centerville, Ohio is a suburban city in the Dayton metropolitan area known for its historic downtown and large collection of early stone buildings.
-
E.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907da75388190bfbdbedbd46adbdc |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26de62d48190849540112614ccce |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 4, 2026, 7:26 p.m.