Triple
T10161873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stowe, Buckinghamshire |
E233908
|
entity |
| Predicate | distanceToBuckingham |
P92354
|
FINISHED |
| Object | approximately 2.5 miles north |
—
|
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 2.5 miles north | Statement: [Stowe, Buckinghamshire, distanceToBuckingham, approximately 2.5 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBuckingham Context triple: [Stowe, Buckinghamshire, distanceToBuckingham, approximately 2.5 miles north]
-
A.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
B.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
C.
distanceToYorkCityCentre
Indicates the measured or specified distance between a given location and the centre of York city.
-
D.
distanceToEgham
Indicates the spatial distance between a given entity and the location of Egham.
-
E.
distanceToBingham
Indicates the measured or calculated distance between a given entity and the location named Bingham.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec59b01081908be6ca37dc575465 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.