Triple
T12116473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stow, Ohio, United States |
E288574
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kent, Ohio |
E156899
|
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: Kent, Ohio | Statement: [Stow, Ohio, United States, borderedBy, Kent, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent, Ohio Context triple: [Stow, Ohio, United States, borderedBy, Kent, Ohio]
-
A.
Kent, Ohio
chosen
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
-
B.
Lexington, Ohio
Lexington, Ohio is a small village in north-central Ohio known for its community-oriented atmosphere and proximity to the Mid-Ohio Sports Car Course.
-
C.
Kettering, Ohio
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.
-
D.
Dayton, Kentucky
Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
-
E.
Covington, Ohio
Covington, Ohio is a small village in western Ohio known for its rural character and tight-knit community within the Dayton metropolitan area.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.