Triple
T5466705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steel City |
E122728
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Lorain, Ohio |
E619441
|
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: Lorain, Ohio | Statement: [Steel City, refersTo, Lorain, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorain, Ohio Context triple: [Steel City, refersTo, Lorain, Ohio]
-
A.
Lorain
chosen
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
-
B.
Canton, Ohio
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
-
C.
Lorain, Ohio, United States
Lorain, Ohio, United States is an industrial city on Lake Erie best known as the birthplace of Nobel Prize–winning author Toni Morrison.
-
D.
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.
-
E.
Milan, Ohio
Milan, Ohio is a small historic village in northern Ohio best known as the birthplace of inventor Thomas Edison.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9217009c819082631a2758b5f2a4 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83414c374819085ca1e441728c6af |
completed | March 28, 2026, 8:03 p.m. |
Created at: March 20, 2026, 2:08 p.m.