Triple
T25864007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoke Bank |
E651561
|
entity |
| Predicate | hasRailwayGradient |
P121368
|
FINISHED |
| Object | downhill |
—
|
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: downhill | Statement: [Stoke Bank, hasRailwayGradient, downhill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailwayGradient Context triple: [Stoke Bank, hasRailwayGradient, downhill]
-
A.
railwayGradient
chosen
Indicates the slope or steepness of a railway track along its route.
-
B.
railroadGrade
Indicates that one entity is at the elevation or level of a railroad track or crossing relative to another entity.
-
C.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
D.
hasRailLevel
Indicates that one entity possesses, is assigned, or is associated with a specific rail-related level or classification in relation to another entity.
-
E.
roadMaximumGradient
Indicates the steepest allowable slope or incline specified for a road segment.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 8:06 a.m.