Triple
T24004809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore and Ohio Railroad locomotives |
E594341
|
entity |
| Predicate | includesWheelArrangement |
P154832
|
FINISHED |
| Object | 4-4-0 American type |
—
|
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: 4-4-0 American type | Statement: [Baltimore and Ohio Railroad locomotives, includesWheelArrangement, 4-4-0 American type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesWheelArrangement Context triple: [Baltimore and Ohio Railroad locomotives, includesWheelArrangement, 4-4-0 American type]
-
A.
wheelArrangementSystem
Indicates the specific configuration or system by which the wheels of a vehicle or rolling stock are arranged and organized.
-
B.
hasTrailingWheelArrangement
Indicates that an entity (typically a vehicle) possesses a specific configuration of wheels located at its rear or trailing end.
-
C.
hasLeadingWheelArrangement
Indicates the specific configuration of the leading (front) wheels in a vehicle’s or locomotive’s wheel arrangement.
-
D.
vehicleLayout
Indicates how the components or seating within a vehicle are arranged or configured relative to each other.
-
E.
shaftArrangement
Indicates how one or more shafts are positioned, oriented, or configured relative to each other within a mechanical or structural system.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d4681fd88190949c5c91d4f94910 |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:40 p.m.