Triple
T1110048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunbridge Wells borough |
E25572
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Benenden |
E126966
|
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: Benenden | Statement: [Tunbridge Wells borough, hasParish, Benenden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benenden Context triple: [Tunbridge Wells borough, hasParish, Benenden]
-
A.
Benenden
chosen
Benenden is a rural village in Kent, England, known for its historic parish church, traditional village green, and the independent girls’ school Benenden School.
-
B.
Banwen
Banwen is a small village in South Wales, known historically for its coal mining heritage and location near the upper Dulais Valley.
-
C.
Edenborn
Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
-
D.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
E.
Bordon
Bordon is a town in East Hampshire, England, historically known for its large army camp and military training facilities.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bb75eec08190b1d6545e96816d34 |
completed | March 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac53935d108190955343cd1d3716b0 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.