Triple
T6950945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camberwell Grove conservation area |
E160920
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Grove Lane
Grove Lane is a historic residential street in Camberwell, South London, noted for its period architecture and inclusion within a designated conservation area.
|
E690895
|
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: Grove Lane | Statement: [Camberwell Grove conservation area, hasStreet, Grove Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grove Lane Context triple: [Camberwell Grove conservation area, hasStreet, Grove Lane]
-
A.
Easington Lane
Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
-
B.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
-
C.
Cudham Lane
Cudham Lane is a local road serving the rural village of Cudham in the London Borough of Bromley, England.
-
D.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
E.
Rayners Lane
Rayners Lane is a suburban area and London Underground station district in northwest London, known for its residential character and Art Deco architecture.
- 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: Grove Lane Triple: [Camberwell Grove conservation area, hasStreet, Grove Lane]
Generated description
Grove Lane is a historic residential street in Camberwell, South London, noted for its period architecture and inclusion within a designated conservation area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grove Lane Target entity description: Grove Lane is a historic residential street in Camberwell, South London, noted for its period architecture and inclusion within a designated conservation area.
-
A.
Easington Lane
Easington Lane is a village in the City of Sunderland, Tyne and Wear, in North East England.
-
B.
Moor Lane
Moor Lane is a football stadium in Salford, Greater Manchester, best known as the long-standing home of Salford City F.C.
-
C.
Cudham Lane
Cudham Lane is a local road serving the rural village of Cudham in the London Borough of Bromley, England.
-
D.
Woodhouse Lane
Woodhouse Lane is a major road in Leeds, West Yorkshire, serving as a key route between the city centre and the university and Hyde Park areas.
-
E.
Rayners Lane
Rayners Lane is a suburban area and London Underground station district in northwest London, known for its residential character and Art Deco architecture.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daaeb66c8190a62b32a2c22f166a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c95675f24c81909f9c14e29a79c157 |
completed | March 29, 2026, 4:42 p.m. |
| NEDg | Description generation | batch_69c95a4e0fd8819099da4b3f3ced733c |
completed | March 29, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c95aa66a6c819091116c4b83082dd9 |
completed | March 29, 2026, 5 p.m. |
Created at: March 27, 2026, 2:29 p.m.