Triple
T36158929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4-8-2 Mountain steam locomotives |
E1045817
|
entity |
| Predicate | hasTrailingTruck |
P196118
|
FINISHED |
| Object | one-axle trailing truck |
—
|
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: one-axle trailing truck | Statement: [4-8-2 Mountain steam locomotives, hasTrailingTruck, one-axle trailing truck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailingTruck Context triple: [4-8-2 Mountain steam locomotives, hasTrailingTruck, one-axle trailing truck]
-
A.
hasTrailingTruckType
chosen
Indicates that an entity is associated with a specific type of truck positioned at the rear or trailing end.
-
B.
hasSeparateTrailingTruck
Indicates that an entity is accompanied by a distinct, independently attached trailing truck or carriage rather than having it integrated into its main structure.
-
C.
hasLeadingTruck
Indicates that one vehicle is serving as the primary or front-position truck in relation to another vehicle or convoy.
-
D.
hasSeparateLeadingTruck
Indicates that an object or vehicle is accompanied by a distinct, independently operated leading truck unit.
-
E.
hasTrailer
Indicates that one entity is attached to, equipped with, or accompanied by a trailer.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: May 3, 2026, 4:08 p.m.