Triple
T24759071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niederfinow Boat Lift |
E619377
|
entity |
| Predicate | heightDifferenceBridged |
P157096
|
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, heightDifferenceBridged, about 36 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightDifferenceBridged Context triple: [Niederfinow Boat Lift, heightDifferenceBridged, about 36 metres]
-
A.
skybridgeHeight
Indicates the vertical distance or clearance between a skybridge and a reference surface (such as the ground or roadway) or between connected structures.
-
B.
bridgeHeightUsed
Indicates that a specific bridge height value is applied or taken into account in a given context or operation.
-
C.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
D.
hasSkyBridgeLength
Indicates the length measurement of a sky bridge connecting two structures or areas.
-
E.
hasTrailDistanceToFootbridge
Indicates the length of the trail segment separating a given location or feature from a specified footbridge.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:27 a.m.