Triple
T23144757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medina County |
E577555
|
entity |
| Predicate | hasLargestCity |
P235
|
FINISHED |
| Object | Brunswick |
—
|
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: Brunswick | Statement: [Medina County, hasLargestCity, Brunswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunswick Context triple: [Medina County, hasLargestCity, Brunswick]
-
A.
Brunswick
Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
-
B.
Brunswick
Brunswick is a coastal town in Maine known for its historic charm, cultural amenities, and role as the home of Bowdoin College.
-
C.
Brunswick
Brunswick is a coastal city in southeastern Georgia known for its historic port, maritime industry, and proximity to the Golden Isles.
-
D.
Brunswick
Brunswick is an inner-city suburb of Melbourne, Australia, known for its vibrant multicultural community, live music and arts scene, and bustling Sydney Road shopping and dining strip.
-
E.
Brunswick
chosen
Brunswick is a suburban city in northeastern Ohio, United States, located in Medina County within the Greater Cleveland metropolitan area.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecd40108190aaad7faf754b7936 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.