Triple
T8214750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Maglev Train |
E191905
|
entity |
| Predicate | averageCommercialSpeed |
P2060
|
FINISHED |
| Object | about 250–300 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: about 250–300 km/h | Statement: [Shanghai Maglev Train, averageCommercialSpeed, about 250–300 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageCommercialSpeed Context triple: [Shanghai Maglev Train, averageCommercialSpeed, about 250–300 km/h]
-
A.
hasAverageSurfaceSpeed
chosen
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
B.
typicalSpeedup
Indicates the usual or expected performance improvement (e.g., reduction in time or increase in speed) achieved when applying one method, system, or configuration relative to another.
-
C.
recommendedSpeed
Indicates the speed that is advised or suggested as appropriate under given conditions, rather than required or actual speed.
-
D.
averageSpreadingRate
Indicates the typical rate at which something (such as a phenomenon, substance, or influence) expands or propagates over a given distance or time.
-
E.
deliverySpeed
Indicates the rate or promptness with which an item, service, or information is delivered from a source to a recipient.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776c5cd081908259b1c3d12285de |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.