Triple
T8386076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britannia Prima |
E197821
|
entity |
| Predicate | mentionedIn |
P831
|
FINISHED |
| Object |
Verona List
The Verona List is a late Roman document that catalogues the provinces of the Western Roman Empire, serving as an important source for understanding its administrative geography.
|
E730044
|
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: Verona List | Statement: [Britannia Prima, mentionedIn, Verona List]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verona List Context triple: [Britannia Prima, mentionedIn, Verona List]
-
A.
Verona (town)
Verona is a suburban town in south-central Wisconsin, United States, known for its proximity to Madison and its mix of residential communities, parks, and local businesses.
-
B.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
C.
Vincenza
Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
-
D.
Verona
Verona is a small borough in Allegheny County, Pennsylvania, situated along the Allegheny River just northeast of Pittsburgh.
-
E.
Verona
Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
- 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: Verona List Triple: [Britannia Prima, mentionedIn, Verona List]
Generated description
The Verona List is a late Roman document that catalogues the provinces of the Western Roman Empire, serving as an important source for understanding its administrative geography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verona List Target entity description: The Verona List is a late Roman document that catalogues the provinces of the Western Roman Empire, serving as an important source for understanding its administrative geography.
-
A.
Verona (town)
Verona is a suburban town in south-central Wisconsin, United States, known for its proximity to Madison and its mix of residential communities, parks, and local businesses.
-
B.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
C.
Vincenza
Vincenza is an Italian feminine given name, commonly used as the female counterpart of Vincenzo.
-
D.
Verona
Verona is a small borough in Allegheny County, Pennsylvania, situated along the Allegheny River just northeast of Pittsburgh.
-
E.
Verona
Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e1bcdc81909111aa33ee996e0a |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde8312be48190bd5896adc8bb4e95 |
completed | April 2, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69cdebfafe84819097f387318897dae1 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2a9c2c8190bdbeddad562ef9e8 |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:02 p.m.