Triple
T4063005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German autobahn network |
E86257
|
entity |
| Predicate | recommendedSpeed |
P53843
|
FINISHED |
| Object | 130 km/h |
—
|
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: 130 km/h | Statement: [German autobahn network, recommendedSpeed, 130 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedSpeed Context triple: [German autobahn network, recommendedSpeed, 130 km/h]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
currentSpeed
Indicates the present rate at which an entity is moving over time.
-
C.
supportsBusSpeed
Indicates that one entity is capable of operating at, or is compatible with, a specified bus communication speed of another entity.
-
D.
speed
Indicates the rate at which an entity moves or changes position over time.
-
E.
clockSpeed
Indicates the operating frequency at which a clock-driven component (such as a processor) performs its cycles or operations over time.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefd0995188190b1bc8771fe7f423a |
completed | March 9, 2026, 5:02 p.m. |
Created at: March 9, 2026, 3:38 p.m.