Triple
T522392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transport for Wales Rail |
E10845
|
entity |
| Predicate | operatesServiceTo |
P6304
|
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: [Transport for Wales Rail, operatesServiceTo, Shrewsbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shrewsbury Context triple: [Transport for Wales Rail, operatesServiceTo, Shrewsbury]
-
A.
Shrewsbury
chosen
Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
-
B.
Telford
Telford is a given name most notably associated with Telford Taylor, the American lawyer and chief prosecutor at the Nuremberg Trials.
-
C.
Shrewsbury and Atcham
Shrewsbury and Atcham is a UK parliamentary constituency in Shropshire, England, represented in the House of Commons.
-
D.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
E.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5154d3a70819097de31be3b753523 |
completed | March 2, 2026, 4:42 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.