Triple
T16919906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BVG Class F |
E410417
|
entity |
| Predicate | trainLengthVariant |
P18065
|
FINISHED |
| Object | six-car sets |
—
|
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: six-car sets | Statement: [BVG Class F, trainLengthVariant, six-car sets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainLengthVariant Context triple: [BVG Class F, trainLengthVariant, six-car sets]
-
A.
usedForTrainLength
Indicates that something is used to determine, measure, or represent the length of a train.
-
B.
rollingStockLength
Indicates the length measurement of a piece of rolling stock in a rail or transit system.
-
C.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
D.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
E.
line1RollingStock
Indicates that the rolling stock (e.g., train cars or locomotives) is assigned to or operating on the first line in a multi-line rail system.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cded2f8481909a20cc08b47e922e |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.