Triple
T18548796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evendale, Ohio |
E453310
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Reading, 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: Reading, Ohio | Statement: [Evendale, Ohio, adjacentTo, Reading, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading, Ohio Context triple: [Evendale, Ohio, adjacentTo, Reading, Ohio]
-
A.
Reading, Ohio
chosen
Reading, Ohio is a small suburban city located just north of Cincinnati in Hamilton County.
-
B.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
C.
Richmond, Ohio
Richmond, Ohio is a small village in eastern Ohio known for its rural character and location within Jefferson County.
-
D.
Reynoldsburg, Ohio
Reynoldsburg, Ohio is a suburban city near Columbus best known as the longtime home of Victoria’s Secret’s corporate headquarters.
-
E.
Rutherford, Ohio
Rutherford, Ohio is the fictional Midwestern college town that serves as the primary setting for the sitcom "3rd Rock from the Sun."
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534be2298819095f637065fc2724e |
completed | April 19, 2026, 8:02 p.m. |
Created at: April 10, 2026, 11:38 a.m.