Triple
T11641204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakengates |
E276663
|
entity |
| Predicate | hasBusServicesTo |
P3791
|
FINISHED |
| Object | Wellington, Shropshire |
E150939
|
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: Wellington, Shropshire | Statement: [Oakengates, hasBusServicesTo, Wellington, Shropshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wellington, Shropshire Context triple: [Oakengates, hasBusServicesTo, Wellington, Shropshire]
-
A.
Wellington, Shropshire
chosen
Wellington, Shropshire is a historic market town in Shropshire, England, now part of the new town of Telford.
-
B.
Wellington, Somerset
Wellington, Somerset is a small market town in southwest England best known for its historical connection to Arthur Wellesley, the 1st Duke of Wellington.
-
C.
Newport, Shropshire
Newport, Shropshire is a historic market town in England known for its traditional high street, canalside setting, and proximity to both rural Shropshire and the West Midlands.
-
D.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
-
E.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a260ab488190ab1c00d9850f3096 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef137087248190bb6c196bc94eb0f6 |
completed | April 27, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:39 p.m.