Triple
T9140896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guisborough |
E219323
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | GUISBOROUGH |
E219323
|
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: GUISBOROUGH | Statement: [Guisborough, postTown, GUISBOROUGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUISBOROUGH Context triple: [Guisborough, postTown, GUISBOROUGH]
-
A.
Guisborough
chosen
Guisborough is a historic market town in North Yorkshire, England, known for the ruins of Guisborough Priory and its location near the North York Moors.
-
B.
Goldsborough
Goldsborough is a village and civil parish in North Yorkshire, England, known for its historic church and proximity to the town of Knaresborough.
-
C.
Gainsborough
Gainsborough is a historic market town in Lincolnshire, England, situated on the River Trent and known for its industrial heritage and riverside setting.
-
D.
Gainsborough
Gainsborough was an influential 18th-century English portrait and landscape painter, best known for works like "The Blue Boy" and his elegant depictions of aristocratic society.
-
E.
Glossop
Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f2537881908956a9b0516e2d49 |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0480ee2f081908ed98844784e465c |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:19 p.m.