Triple
T9612231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strongsville |
E232128
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Brunswick
Brunswick is a suburban city in northeastern Ohio, United States, located in Medina County within the Greater Cleveland metropolitan area.
|
E810954
|
NE FINISHED |
How this triple was built (4 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: [Strongsville, hasBorderWith, Brunswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunswick Context triple: [Strongsville, hasBorderWith, 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
Brunswick is a football club that competes in the Netherlands' second-tier league system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brunswick Triple: [Strongsville, hasBorderWith, Brunswick]
Generated description
Brunswick is a suburban city in northeastern Ohio, United States, located in Medina County within the Greater Cleveland metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brunswick Target entity description: Brunswick is a suburban city in northeastern Ohio, United States, located in Medina County within the Greater Cleveland metropolitan area.
-
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
Brunswick is a football club that competes in the Netherlands' second-tier league system.
- F. None of above. chosen
Provenance (5 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a87764481909ab96cd2ab96d14b |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179513f9081909bcd9a456c640ba3 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17b87ec6c8190a265bdbb6855dca5 |
completed | April 4, 2026, 8:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17beebd748190b85d7bd549276197 |
completed | April 4, 2026, 9 p.m. |
Created at: March 30, 2026, 8:09 p.m.