Triple
T35218215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartmel Racecourse |
E1016873
|
entity |
| Predicate | distanceFromMajorTown |
P200374
|
FINISHED |
| Object | near Grange-over-Sands |
—
|
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: near Grange-over-Sands | Statement: [Cartmel Racecourse, distanceFromMajorTown, near Grange-over-Sands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMajorTown Context triple: [Cartmel Racecourse, distanceFromMajorTown, near Grange-over-Sands]
-
A.
isRemoteFromMajorTowns
Indicates that something is located far away from major towns or urban centers, with limited proximity to them.
-
B.
approximateDistanceFromTownCentre
chosen
Indicates the estimated spatial distance between a given location and the center of a town.
-
C.
nearestMajorTowns
Indicates that one or more major towns are the closest significant urban centers to a given location or entity.
-
D.
distanceFromMajorCity
Indicates the measured distance between a given location and a specified major city.
-
E.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.