Triple
T3937561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMS Jubilee Class |
E90949
|
entity |
| Predicate | powerClassBR |
P52649
|
FINISHED |
| Object | 6P5F |
—
|
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: 6P5F | Statement: [LMS Jubilee Class, powerClassBR, 6P5F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerClassBR Context triple: [LMS Jubilee Class, powerClassBR, 6P5F]
-
A.
winnerPowertrainType
Indicates the type of powertrain used by the entity that is identified as the winner in a given context or competition.
-
B.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
C.
vehiclePower
Indicates the amount or type of power a vehicle can produce or is rated to deliver.
-
D.
engineClass
Indicates the classification or type category assigned to an engine within a given system or context.
-
E.
primaryPowertrain
Indicates the main powertrain system that primarily provides propulsion or drive power for a vehicle or machine.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedceab608190934293d432f14476 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:24 p.m.