Triple
T11212173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venta Belgarum |
E265334
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object |
Sorbiodunum
Sorbiodunum was a Roman-era settlement and fort in southern Britain, located near modern Old Sarum in Wiltshire.
|
E912035
|
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: Sorbiodunum | Statement: [Venta Belgarum, connectedTo, Sorbiodunum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorbiodunum Context triple: [Venta Belgarum, connectedTo, Sorbiodunum]
-
A.
Borgosesia
Borgosesia is a town in the Piedmont region of northern Italy, situated in the Valsesia area and known for its textile industry and scenic Alpine surroundings.
-
B.
Rhodogune
Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
-
C.
Orbiana
Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
-
D.
Grombalia
Grombalia is a town in northeastern Tunisia known for its agricultural production, particularly vineyards and olive groves.
-
E.
Dertosa
Dertosa is the ancient Roman name for the city now known as Tortosa, located in Catalonia, Spain, which served as an important settlement along the Ebro River.
- 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: Sorbiodunum Triple: [Venta Belgarum, connectedTo, Sorbiodunum]
Generated description
Sorbiodunum was a Roman-era settlement and fort in southern Britain, located near modern Old Sarum in Wiltshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sorbiodunum Target entity description: Sorbiodunum was a Roman-era settlement and fort in southern Britain, located near modern Old Sarum in Wiltshire.
-
A.
Borgosesia
Borgosesia is a town in the Piedmont region of northern Italy, situated in the Valsesia area and known for its textile industry and scenic Alpine surroundings.
-
B.
Rhodogune
Rhodogune was an Achaemenid Persian queen, known primarily as the mother of King Darius I of Persia.
-
C.
Orbiana
Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
-
D.
Grombalia
Grombalia is a town in northeastern Tunisia known for its agricultural production, particularly vineyards and olive groves.
-
E.
Dertosa
Dertosa is the ancient Roman name for the city now known as Tortosa, located in Catalonia, Spain, which served as an important settlement along the Ebro River.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d6f5d4819086dcb776a0d469e8 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e497569efc8190b8e9cb6b1db3f94d |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49c0a92b08190ac5debb7d67ca776 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.