Triple
T14844347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wimborne Minster |
E349046
|
entity |
| Predicate | distanceFromBournemouth |
P92559
|
FINISHED |
| Object | approximately 10 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 10 miles north | Statement: [Wimborne Minster, distanceFromBournemouth, approximately 10 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBournemouth Context triple: [Wimborne Minster, distanceFromBournemouth, approximately 10 miles north]
-
A.
distanceFromBournemouth_townCentre_km
Indicates the distance, measured in kilometers, between a given entity and Bournemouth town centre.
-
B.
distanceFromBournemouth_townCentre_miles
chosen
Indicates the number of miles between an entity and Bournemouth town centre.
-
C.
distanceFromWokingham
Indicates the measured distance between a given entity or location and Wokingham.
-
D.
distanceToBrighton
Indicates the measured or specified distance between a given entity or location and Brighton.
-
E.
distanceToFolkestone
Indicates the spatial distance between a given location or entity and the town of Folkestone.
- F. None of above.
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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.