Triple
T13435274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matlock |
E320212
|
entity |
| Predicate | distanceFromChesterfield |
P61202
|
FINISHED |
| Object | about 19 miles south-west |
—
|
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: about 19 miles south-west | Statement: [Matlock, distanceFromChesterfield, about 19 miles south-west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromChesterfield Context triple: [Matlock, distanceFromChesterfield, about 19 miles south-west]
-
A.
distanceToChesterfield
chosen
Indicates the spatial distance between a given entity and the location named Chesterfield.
-
B.
distanceToChesterCityCentre
Indicates the measured or specified distance between a given location and the centre of Chester city.
-
C.
distanceToChelmsford
Indicates the spatial distance between a given entity’s location and the location of Chelmsford.
-
D.
distanceToLichfield
Indicates the measured distance between a given location or entity and the place named Lichfield.
-
E.
distanceToColchester
Indicates the spatial distance between a given entity and the location of Colchester.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:40 p.m.