Triple
T187505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IMP |
E4013
|
entity |
| Predicate | originalLineSpeed |
P6743
|
FINISHED |
| Object | 50 kbit/s |
—
|
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: 50 kbit/s | Statement: [IMP, originalLineSpeed, 50 kbit/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLineSpeed Context triple: [IMP, originalLineSpeed, 50 kbit/s]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
C.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
D.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
E.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594940e48190a3d8efbce46241c3 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.