Triple
T4923644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whyte notation |
E110523
|
entity |
| Predicate | middleNumberRepresents |
P8195
|
FINISHED |
| Object | driving wheels |
—
|
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: driving wheels | Statement: [Whyte notation, middleNumberRepresents, driving wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: middleNumberRepresents Context triple: [Whyte notation, middleNumberRepresents, driving wheels]
-
A.
middleRepresentative
Indicates that an entity serves as an intermediary or go-between representative connecting two other parties or sides.
-
B.
medianEquals
Indicates that the median value of a given set or sequence is equal to a specified value.
-
C.
metBetween
Indicates that two or more entities had an in-person or virtual meeting or encounter with each other during a specified time or context.
-
D.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
E.
middleInitial
Indicates that an entity has a specific middle initial as part of its personal name.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffd46748190843fed99f02fd8d5 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.