Triple
T22734841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Ayton |
E562236
|
entity |
| Predicate | distanceToStokesley |
P149514
|
FINISHED |
| Object | approximately 3 miles northeast |
—
|
LITERAL 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: approximately 3 miles northeast | Statement: [Great Ayton, distanceToStokesley, approximately 3 miles northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToStokesley Context triple: [Great Ayton, distanceToStokesley, approximately 3 miles northeast]
-
A.
distanceToHelmsley
Indicates the spatial distance between an entity and the location Helmsley.
-
B.
distanceToKnaresborough
Indicates the spatial distance between a given entity and the location of Knaresborough.
-
C.
distanceToGrantham
Indicates the spatial distance between a given entity and the location of Grantham.
-
D.
distanceToScunthorpe
Indicates the measured or calculated distance between a given entity’s location and the town of Scunthorpe.
-
E.
distanceToThirsk
Indicates the spatial distance between a given entity and the location named Thirsk.
- F. None of above. chosen
Provenance (4 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1796f030881908e141564d442bd1b |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:22 p.m.