Triple
T30918373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbląg Canal |
E787648
|
entity |
| Predicate | hasInclinedPlane |
P198994
|
FINISHED |
| Object | Buczyniec inclined plane |
—
|
NE NERFINISHED |
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: Buczyniec inclined plane | Statement: [Elbląg Canal, hasInclinedPlane, Buczyniec inclined plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInclinedPlane Context triple: [Elbląg Canal, hasInclinedPlane, Buczyniec inclined plane]
-
A.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
B.
numberOfInclinedPlanes
Indicates the quantity of inclined planes associated with or present in a given context or system.
-
C.
isOnSlopeOf
Indicates that one entity is located on the inclined surface or side of another entity, typically a sloping terrain or structure.
-
D.
hasInclinedLoop
Indicates that one entity features or contains a loop that is positioned at an angle rather than being level or vertical.
-
E.
hasClimbingElement
Indicates that one entity includes or features a component intended for climbing by another entity.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
| PDg | Predicate description generation | batch_69ff1a95b6fc81909331bb03e263b5b9 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 29, 2026, 8:51 p.m.