Triple
T14726113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tytherington |
E345944
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Thornbury |
E345924
|
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: Thornbury | Statement: [Tytherington, locatedNear, Thornbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thornbury Context triple: [Tytherington, locatedNear, Thornbury]
-
A.
Thornbury
chosen
Thornbury is a historic market town in South Gloucestershire, England, known for its medieval castle and traditional high street.
-
B.
Thornbury
Thornbury is a suburb in Melbourne, Australia, served by its own railway station on the metropolitan train network.
-
C.
Tetbury
Tetbury is a historic market town in the Cotswolds region of southwest England, known for its wool-trading heritage and well-preserved medieval and Georgian architecture.
-
D.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
E.
Tewkesbury
Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26013c8819090512f8b4df9cc87 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.