Triple
T6924260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahoning River |
E160264
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Struthers, Ohio |
E527451
|
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: Struthers, Ohio | Statement: [Mahoning River, passesThrough, Struthers, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Struthers, Ohio Context triple: [Mahoning River, passesThrough, Struthers, Ohio]
-
A.
Struthers, Ohio
chosen
Struthers, Ohio is a small industrial city in northeastern Ohio, located near Youngstown in the Mahoning Valley.
-
B.
Thurston, Ohio
Thurston, Ohio is a small village located in Fairfield County in the central part of the state.
-
C.
Boardman, Ohio
Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
-
D.
Rutherford, Ohio
Rutherford, Ohio is the fictional Midwestern college town that serves as the primary setting for the sitcom "3rd Rock from the Sun."
-
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_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_69c9cd7f9b2c81908a1f77a9cc37a0be |
completed | March 30, 2026, 1:10 a.m. |
Created at: March 27, 2026, 2:26 p.m.