Triple
T7611147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Canterbury local government district |
E172238
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Blean
Blean is a village and civil parish in Kent, England, situated just northwest of the city of Canterbury and known for its nearby ancient woodland, Blean Woods.
|
E676558
|
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: Blean | Statement: [City of Canterbury local government district, contains, Blean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blean Context triple: [City of Canterbury local government district, contains, Blean]
-
A.
Stanground
Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
-
B.
Birling Gap
Birling Gap is a coastal hamlet and beach on England’s south coast, known for its dramatic chalk cliffs, eroding coastline, and access to the Seven Sisters.
-
C.
Nenthead
Nenthead is a remote former lead-mining village in Cumbria, England, known for its high altitude, industrial heritage, and surrounding moorland landscapes.
-
D.
Grindon
Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
-
E.
Bleamoss
Bleamoss is a moorland area in the English Lake District, known for its boggy terrain and proximity to the Langdale valley.
- 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: Blean Triple: [City of Canterbury local government district, contains, Blean]
Generated description
Blean is a village and civil parish in Kent, England, situated just northwest of the city of Canterbury and known for its nearby ancient woodland, Blean Woods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blean Target entity description: Blean is a village and civil parish in Kent, England, situated just northwest of the city of Canterbury and known for its nearby ancient woodland, Blean Woods.
-
A.
Stanground
Stanground is a residential suburb and former village located within the city of Peterborough in Cambridgeshire, England.
-
B.
Birling Gap
Birling Gap is a coastal hamlet and beach on England’s south coast, known for its dramatic chalk cliffs, eroding coastline, and access to the Seven Sisters.
-
C.
Nenthead
Nenthead is a remote former lead-mining village in Cumbria, England, known for its high altitude, industrial heritage, and surrounding moorland landscapes.
-
D.
Grindon
Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
-
E.
Bleamoss
Bleamoss is a moorland area in the English Lake District, known for its boggy terrain and proximity to the Langdale valley.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa221c848190b892ba1caec8d83a |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868645f8081909439f63df3184628 |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c868edf84c8190a6fefce18fc606e1 |
completed | March 28, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869c54ad08190ba42231080d0e9f3 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3:55 p.m.