Triple
T20066334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soraya Esfandiary-Bakhtiary |
E499615
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Roehampton, England
Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
|
E1410875
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roehampton, England Context triple: [Soraya Esfandiary-Bakhtiary, educatedAt, Roehampton, England]
-
A.
Camberwell, London, England
Camberwell, London, England is a district in the London Borough of Southwark known for its diverse community, vibrant arts scene, and proximity to central London.
-
B.
Belmont, Surrey, England
Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
-
C.
Lambeth, London, England
Lambeth is a central London district on the south bank of the River Thames, known for its historic parish, diverse communities, and proximity to landmarks such as Westminster and the South Bank.
-
D.
Richmond, Surrey, England
Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
-
E.
York, England
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
- 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: Roehampton, England Triple: [Soraya Esfandiary-Bakhtiary, educatedAt, Roehampton, England]
Generated description
Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roehampton, England Target entity description: Roehampton, England is a suburban district in southwest London known for its educational institutions, green spaces, and residential character.
-
A.
Camberwell, London, England
Camberwell, London, England is a district in the London Borough of Southwark known for its diverse community, vibrant arts scene, and proximity to central London.
-
B.
Belmont, Surrey, England
Belmont, Surrey, England is a suburban area in the London commuter belt, known as the birthplace of Formula One World Champion James Hunt.
-
C.
Lambeth, London, England
Lambeth is a central London district on the south bank of the River Thames, known for its historic parish, diverse communities, and proximity to landmarks such as Westminster and the South Bank.
-
D.
Richmond, Surrey, England
Richmond, Surrey, England is a historic town on the River Thames in southwest London, long associated with English royalty and aristocratic residences.
-
E.
York, England
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
- F. None of above. chosen
Provenance (4 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f38a7d88190ab158529cea64f87 |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a0823b9f6b081908b71f1061446e31e |
completed | May 16, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08247ad2b0819095315aec25816448 |
completed | May 16, 2026, 8:02 a.m. |
Created at: April 11, 2026, 3:39 p.m.