Triple
T4968691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorain County Community College |
E111589
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Elyria |
E274286
|
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: Elyria | Statement: [Lorain County Community College, city, Elyria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elyria Context triple: [Lorain County Community College, city, Elyria]
-
A.
Elyria, Ohio
chosen
Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
-
B.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
C.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
-
D.
Geneva, Ohio
Geneva, Ohio is a small city in northeastern Ohio best known as the birthplace of automobile pioneer Ransom E. Olds.
-
E.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7210c8f081908e36595a12d07f64 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfa92639a88190a28d9b74e0e55c39 |
completed | March 22, 2026, 8:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.