Triple
T36158937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4-8-2 Mountain steam locomotives |
E1045817
|
entity |
| Predicate | hasConfigurationFeature |
P182
|
FINISHED |
| Object | leading truck for stability at speed |
—
|
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: leading truck for stability at speed | Statement: [4-8-2 Mountain steam locomotives, hasConfigurationFeature, leading truck for stability at speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfigurationFeature Context triple: [4-8-2 Mountain steam locomotives, hasConfigurationFeature, leading truck for stability at speed]
-
A.
hasConfiguration
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
C.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
D.
hasFeatureCode
Indicates that an entity is associated with a specific feature identifier or code that characterizes one of its properties or attributes.
-
E.
hasConfigurationFormat
Indicates that an entity uses or is associated with a specific configuration format for its settings or parameters.
- 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_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.