Triple
T228899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Friedrich Gauss |
E4368
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Brunswick
Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
|
E41721
|
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: [Carl Friedrich Gauss, placeOfBirth, Brunswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brunswick Context triple: [Carl Friedrich Gauss, placeOfBirth, Brunswick]
-
A.
Lunenburg
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
-
B.
Norfolk
Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
-
C.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
D.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
E.
Chatham
Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
- 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: [Carl Friedrich Gauss, placeOfBirth, Brunswick]
Generated description
Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brunswick Target entity description: Brunswick is a historic city in northern Germany known for its medieval heritage and as the birthplace of mathematician Carl Friedrich Gauss.
-
A.
Lunenburg
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
-
B.
Norfolk
Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
-
C.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
D.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
E.
Chatham
Chatham is a coastal town on the southeastern tip of Cape Cod in Massachusetts, known for its beaches, historic lighthouse, and maritime character.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c9140c48190b90647400854b37e |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfe386d081908877b35b38bac0f5 |
completed | March 1, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69a3d06015fc8190979d34d8f8954430 |
completed | March 1, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3d0b190048190aab61c17ca523ea1 |
completed | March 1, 2026, 5:37 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.