Triple
T24759079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niederfinow Boat Lift |
E619377
|
entity |
| Predicate | troughWeightWithWater |
P13057
|
FINISHED |
| Object | about 4300 tonnes |
—
|
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 4300 tonnes | Statement: [Niederfinow Boat Lift, troughWeightWithWater, about 4300 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: troughWeightWithWater Context triple: [Niederfinow Boat Lift, troughWeightWithWater, about 4300 tonnes]
-
A.
wetWeight
Indicates the weight of an object or substance measured while it still contains its natural or added moisture, before any drying.
-
B.
troughWidth
Indicates the measured width of a trough in a given context or system.
-
C.
troughWaterDepth
Indicates the depth of water present in a trough, typically measuring how deep the water level is within that container.
-
D.
troughLength
Indicates the measured longitudinal extent or distance from one end of a trough to the other.
-
E.
waterVolume
chosen
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- 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_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:27 a.m.