Triple
T24759072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niederfinow Boat Lift |
E619377
|
entity |
| Predicate | verticalLiftHeight |
P128997
|
FINISHED |
| Object | about 36 metres |
—
|
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: about 36 metres | Statement: [Niederfinow Boat Lift, verticalLiftHeight, about 36 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verticalLiftHeight Context triple: [Niederfinow Boat Lift, verticalLiftHeight, about 36 metres]
-
A.
verticalLiftSpanLength
Indicates the length of the span that moves vertically in a lifting structure or mechanism.
-
B.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
C.
verticalDrop_m
chosen
Indicates the vertical distance, measured in meters, through which something drops or falls from a higher point to a lower point.
-
D.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
E.
dropHeight
Indicates the vertical distance from which an object is released or allowed to fall.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:27 a.m.