Triple
T13896927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrington, Somerset, England |
E334112
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Congresbury |
E286213
|
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: Congresbury | Statement: [Wrington, Somerset, England, hasNeighbouringSettlement, Congresbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Congresbury Context triple: [Wrington, Somerset, England, hasNeighbouringSettlement, Congresbury]
-
A.
Congresbury
chosen
Congresbury is a village in North Somerset, England, known for its historic parish church and location near the River Yeo.
-
B.
Ramsbury
Ramsbury is a historic village in Wiltshire, England, that once served as the seat of an Anglo-Saxon bishopric.
-
C.
Greshamsbury
Greshamsbury is a fictional English village in Anthony Trollope’s Barsetshire novels, known for its country estate and the social dramas of the Gresham family.
-
D.
Colwall
Colwall is a village and civil parish in Herefordshire, England, situated on the western slopes of the Malvern Hills and known for its scenic countryside and historic character.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.