Triple
T4923645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whyte notation |
E110523
|
entity |
| Predicate | lastNumberRepresents |
P59495
|
FINISHED |
| Object | trailing 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: trailing wheels | Statement: [Whyte notation, lastNumberRepresents, trailing wheels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastNumberRepresents Context triple: [Whyte notation, lastNumberRepresents, trailing wheels]
-
A.
lastSeriesIssued
Indicates that the related entity is the most recent or final series that has been issued in a sequence.
-
B.
lastLetter
Indicates that one entity is the final character in the written or spelled form of another entity.
-
C.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
D.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
E.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within it.
- 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_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. |
| PDg | Predicate description generation | batch_69bd6d3806f881909c06687e9e57b67f |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:30 p.m.