Triple
T9665366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greyfriars Bridge |
E233688
|
entity |
| Predicate | crossesAt |
P10257
|
FINISHED |
| Object | Shrewsbury |
E30803
|
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: Shrewsbury | Statement: [Greyfriars Bridge, crossesAt, Shrewsbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shrewsbury Context triple: [Greyfriars Bridge, crossesAt, Shrewsbury]
-
A.
Shrewsbury
Shrewsbury is a suburban town in central Massachusetts known for its residential character, historic New England charm, and proximity to the city of Worcester.
-
B.
Shrewsbury
chosen
Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
-
C.
Tewkesbury
Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
-
D.
Telford
Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
-
E.
Telford
Telford is a large new town in England’s West Midlands, known for its rapid post-war development and proximity to the Ironbridge Gorge World Heritage Site.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c38f65c8190a0ed20830249a0f1 |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f70597c81909d461b3d935b02a5 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:14 p.m.