Triple
T13927279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Mount Carmel |
E334893
|
entity |
| Predicate | patronage |
P2320
|
FINISHED |
| Object | Aylesford |
E201614
|
NE FINISHED |
How this triple was built (2 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: Aylesford | Statement: [Our Lady of Mount Carmel, patronage, Aylesford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aylesford Context triple: [Our Lady of Mount Carmel, patronage, Aylesford]
-
A.
Aylesford
chosen
Aylesford is a historic village in Kent, England, known for its ancient bridge, riverside setting, and archaeological significance.
-
B.
Eynsford
Eynsford is a historic village in the Sevenoaks District of Kent, England, known for its medieval castle ruins and picturesque rural setting.
-
C.
Chatham and Aylesford
Chatham and Aylesford is a UK parliamentary constituency in Kent represented in the House of Commons.
-
D.
Faversham
Faversham is a historic market town in Kent, England, known for its medieval architecture, maritime heritage, and long-standing brewing industry.
-
E.
Wrotham
Wrotham is a historic village in Kent, England, known for its traditional architecture and rural setting near the North Downs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa7e9248190b0523415b9224e2f |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8262288190a7e6dd647b1917c1 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.