Triple
T28794141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koblenz cable car over Rhine |
E727039
|
entity |
| Predicate | totalTransportCapacityPerHour |
P22949
|
FINISHED |
| Object | up to 7600 passengers |
—
|
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: up to 7600 passengers | Statement: [Koblenz cable car over Rhine, totalTransportCapacityPerHour, up to 7600 passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalTransportCapacityPerHour Context triple: [Koblenz cable car over Rhine, totalTransportCapacityPerHour, up to 7600 passengers]
-
A.
transportCapacity
Indicates the maximum quantity of people, goods, or materials that can be transported by an entity or system within a given operation or time frame.
-
B.
capacityPerHour
chosen
Indicates the maximum amount of output or throughput an entity can handle or produce in one hour.
-
C.
transmissionCapacity
Indicates the maximum amount of data or power that can be transmitted through a channel, link, or system over a given period.
-
D.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
E.
maximumPassengerCapacity
Indicates the greatest number of passengers that an entity is designed or allowed to carry at one time.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 6:24 a.m.