Triple
T13772575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grassington |
E330915
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | SKIPTON |
E179914
|
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: SKIPTON | Statement: [Grassington, postalTown, SKIPTON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKIPTON Context triple: [Grassington, postalTown, SKIPTON]
-
A.
Skipton
chosen
Skipton is a historic market town in North Yorkshire, England, known for its well-preserved medieval castle and picturesque setting on the edge of the Yorkshire Dales.
-
B.
Leeds and Skipton
Leeds and Skipton are towns in West Yorkshire and North Yorkshire, England, respectively, linked by a key commuter and regional rail corridor.
-
C.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
-
D.
Skipton Woods
Skipton Woods is an ancient woodland and popular walking area near Skipton in North Yorkshire, England, known for its scenic trails and wildlife.
-
E.
Thirsk
Thirsk is a historic market town in northern England, best known as the home of veterinarian-author James Herriot and as a gateway to the North York Moors.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0235aea881909ab4c721db081b00 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86907cc8190a6a6b475d08f0dc7 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.