Triple
T6924252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahoning River |
E160264
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Youngstown, Ohio |
E26250
|
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: Youngstown, Ohio | Statement: [Mahoning River, passesThrough, Youngstown, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youngstown, Ohio Context triple: [Mahoning River, passesThrough, Youngstown, Ohio]
-
A.
Youngstown
chosen
Youngstown is an industrial city in northeastern Ohio historically known for its steel production and central role in the Rust Belt’s economic rise and decline.
-
B.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
-
C.
Clyde, Ohio
Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
-
D.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
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 (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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fea8d08190b6099a24fbac7de5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf275f49f48190ad92d5aaebaac4d0 |
completed | April 3, 2026, 2:35 a.m. |
Created at: March 27, 2026, 2:26 p.m.