Triple
T10556896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pesa Jazz |
E249108
|
entity |
| Predicate | hasBogieType |
P44072
|
FINISHED |
| Object | pivoting bogies |
—
|
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: pivoting bogies | Statement: [Pesa Jazz, hasBogieType, pivoting bogies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBogieType Context triple: [Pesa Jazz, hasBogieType, pivoting bogies]
-
A.
hasBogieCount
Indicates the number of bogies (wheel assemblies) associated with or assigned to an entity.
-
B.
bogieType
chosen
Indicates the specific configuration or classification of a vehicle’s bogie (wheel assembly) used in its design or operation.
-
C.
hasBoreType
Indicates that an entity is characterized by or associated with a specific type of bore (e.g., cylindrical, tapered, rifled).
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52713eaa48190936b4b15e2c7e827 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.