Triple
T2526958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Leaf |
E56056
|
entity |
| Predicate | operatorStyleUS |
P39373
|
FINISHED |
| Object | Amtrak branding |
—
|
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: Amtrak branding | Statement: [Maple Leaf, operatorStyleUS, Amtrak branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorStyleUS Context triple: [Maple Leaf, operatorStyleUS, Amtrak branding]
-
A.
operatorStyle
Indicates the manner or approach an operator uses to perform or manage an operation, such as their method, technique, or behavioral style in carrying out tasks.
-
B.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
C.
callingStyle
Indicates the manner or convention by which one entity initiates or performs a call or invocation on another entity.
-
D.
salesUS
Indicates a relationship where sales activity, revenue, or transactions are specifically associated with the United States.
-
E.
usesAsStyleOf
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd255f0d081908d20cfb812c4bfc1 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:46 p.m.