Triple
T19961126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express InterCity Premium |
E479815
|
entity |
| Predicate | designedSpeedKmH |
P138039
|
FINISHED |
| Object | 250 |
—
|
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: 250 | Statement: [Express InterCity Premium, designedSpeedKmH, 250]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedSpeedKmH Context triple: [Express InterCity Premium, designedSpeedKmH, 250]
-
A.
designedServiceSpeed
Indicates the intended or specified operational speed at which a service is designed to function.
-
B.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
C.
speedLimitCharacteristic
Indicates that an entity has a specific speed limit property or constraint associated with it.
-
D.
hasSpeedLimitCharacteristic
Indicates that an entity is associated with a specific speed limit property or constraint.
-
E.
speedAtDerailmentApprox
Indicates the approximate speed an entity was traveling at the moment it derailed.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af4520c81909986a47289ba801e |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.