Triple
T28107807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P Zero |
E710407
|
entity |
| Predicate | typicalSpeedRating |
P9902
|
FINISHED |
| Object | W |
—
|
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: W | Statement: [P Zero, typicalSpeedRating, W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpeedRating Context triple: [P Zero, typicalSpeedRating, W]
-
A.
speedClass
chosen
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
B.
typicalTopSpeedRange
Indicates the usual range of maximum speeds that an entity is capable of under normal conditions.
-
C.
designedSpeedKmH
Indicates the maximum speed in kilometers per hour that something is intended or engineered to achieve under its design specifications.
-
D.
speedDescribedAs
Indicates that one entity characterizes or labels the speed of another entity using a particular description or term.
-
E.
marketedSpeedName
Indicates the branded or advertised name used to describe the speed of a product or service.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
Created at: April 27, 2026, 9:09 p.m.