Triple
T14807490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stapeley, Cheshire, England |
E348075
|
entity |
| Predicate | distanceToNantwich |
P115806
|
FINISHED |
| Object | approximately 1 mile southeast |
—
|
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 1 mile southeast | Statement: [Stapeley, Cheshire, England, distanceToNantwich, approximately 1 mile southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNantwich Context triple: [Stapeley, Cheshire, England, distanceToNantwich, approximately 1 mile southeast]
-
A.
distanceFromWiganNorthWestern
Indicates the spatial distance between a given location and Wigan North Western station.
-
B.
distanceFromTamworth
Indicates the spatial distance measured from the reference location Tamworth to another place or entity.
-
C.
distanceToNuneaton
Indicates the spatial distance between a given location or entity and the town of Nuneaton.
-
D.
distanceToWarrington
Indicates the spatial distance between a given entity or location and the town of Warrington.
-
E.
distanceToGrantham
Indicates the spatial distance between a given entity and the location of Grantham.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:42 a.m.