Triple
T14789910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio–Kentucky border |
E347624
|
entity |
| Predicate | nearbyMajorCity |
P1982
|
FINISHED |
| Object | Portsmouth, 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: Portsmouth, Ohio | Statement: [Ohio–Kentucky border, nearbyMajorCity, Portsmouth, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portsmouth, Ohio Context triple: [Ohio–Kentucky border, nearbyMajorCity, Portsmouth, Ohio]
-
A.
Portsmouth, Ohio
chosen
Portsmouth, Ohio is a small city along the Ohio River historically known for its early NFL franchise, the Portsmouth Spartans, which later became the Detroit Lions.
-
B.
Plymouth, Ohio
Plymouth, Ohio is a small village in north-central Ohio that spans Huron and Richland counties and is known for its rural community character.
-
C.
Bridgeport, Ohio
Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
-
D.
Hartford, Ohio
Hartford, Ohio is a small rural village located in central Ohio within Licking County.
-
E.
Newark, Ohio
Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa1e9ec81908d7c26c1c4e43014 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 1:31 a.m.