Triple
T7278647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC-4 |
E163093
|
entity |
| Predicate | whyteNotation |
P57680
|
FINISHED |
| Object | 4-8-8-2 |
—
|
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: 4-8-8-2 | Statement: [AC-4, whyteNotation, 4-8-8-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whyteNotation Context triple: [AC-4, whyteNotation, 4-8-8-2]
-
A.
WhyteNotation
chosen
Indicates a classification relationship where a steam locomotive is described by its wheel arrangement using the Whyte notation system.
-
B.
positionInNotation
Indicates the specific place or index that an element occupies within a given ordered notation or representation.
-
C.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
-
D.
usesPositionalNotation
Indicates that one entity represents numbers using a positional numeral system, where a digit’s value depends on its position.
-
E.
distinguishingNotation
Indicates that one entity uses a specific notation or symbol to distinguish or differentiate another entity from similar ones.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.