Triple
T19340156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretna Green railway station |
E483729
|
entity |
| Predicate | distanceToCarlisleByRail |
P24133
|
FINISHED |
| Object | approximately 10 miles |
—
|
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 | Statement: [Gretna Green railway station, distanceToCarlisleByRail, approximately 10 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCarlisleByRail Context triple: [Gretna Green railway station, distanceToCarlisleByRail, approximately 10 miles]
-
A.
distanceToCarlisle
chosen
Indicates the spatial distance between a given entity or location and Carlisle.
-
B.
directionFromCarlisle
Indicates the compass direction or relative bearing of one location when measured starting from Carlisle.
-
C.
distanceToClitheroe
Indicates the spatial distance between a given entity or location and the town of Clitheroe.
-
D.
distanceToLancaster
Indicates the measured distance between a given entity’s location and the location of Lancaster.
-
E.
distanceToKnaresborough
Indicates the spatial distance between a given entity and the location of Knaresborough.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618560f0081908565f802ea1e3cc8 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.