Triple
T24759077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niederfinow Boat Lift |
E619377
|
entity |
| Predicate | troughWidth |
P157097
|
FINISHED |
| Object | about 12 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 12 metres | Statement: [Niederfinow Boat Lift, troughWidth, about 12 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: troughWidth Context triple: [Niederfinow Boat Lift, troughWidth, about 12 metres]
-
A.
troughLength
Indicates the measured longitudinal extent or distance from one end of a trough to the other.
-
B.
hasTrough
Indicates that one entity possesses, includes, or is characterized by a trough, such as a long, narrow, typically low or recessed feature or container.
-
C.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
D.
trunkDiameter
Indicates the measured thickness of a trunk, typically expressed as the diameter across its cross-section.
-
E.
nutWidthInches
Indicates the width of a nut measured in inches.
- 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.