Triple
T6297041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chalfont St Peter |
E141154
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Austenwood
Austenwood is a residential area forming part of the village of Chalfont St Peter in Buckinghamshire, England.
|
E581753
|
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: Austenwood | Statement: [Chalfont St Peter, hasNeighbourhood, Austenwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Austenwood Context triple: [Chalfont St Peter, hasNeighbourhood, Austenwood]
-
A.
Uplands
Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
-
B.
Holmwood
Holmwood is a village in Surrey, England, situated within the Mole Valley district and known for its rural character and proximity to the North Downs.
-
C.
Ackerley
Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
-
D.
Firswood
Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
-
E.
Holmewood
Holmewood is a village in Derbyshire, England, known historically for its coal mining roots and subsequent redevelopment into a residential and light industrial community.
- 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: Austenwood Triple: [Chalfont St Peter, hasNeighbourhood, Austenwood]
Generated description
Austenwood is a residential area forming part of the village of Chalfont St Peter in Buckinghamshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Austenwood Target entity description: Austenwood is a residential area forming part of the village of Chalfont St Peter in Buckinghamshire, England.
-
A.
Uplands
Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
-
B.
Holmwood
Holmwood is a village in Surrey, England, situated within the Mole Valley district and known for its rural character and proximity to the North Downs.
-
C.
Ackerley
Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
-
D.
Firswood
Firswood is a suburban residential area in Trafford, Greater Manchester, England, served by the Manchester Metrolink network.
-
E.
Holmewood
Holmewood is a village in Derbyshire, England, known historically for its coal mining roots and subsequent redevelopment into a residential and light industrial community.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643bd0748190af7abbebb6f94242 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51993b8ec8190a0813d66851ac201 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51eaa277c81908a4566da138c8047 |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f583f788190ac716a02f584f093 |
completed | March 26, 2026, 11:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.