Triple
T15895764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Group W12 |
E385448
|
entity |
| Predicate | cylindersArrangement |
P12421
|
FINISHED |
| Object | four banks of three cylinders |
—
|
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: four banks of three cylinders | Statement: [Volkswagen Group W12, cylindersArrangement, four banks of three cylinders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cylindersArrangement Context triple: [Volkswagen Group W12, cylindersArrangement, four banks of three cylinders]
-
A.
cylinderArrangement
chosen
Indicates how multiple cylinders are positioned or organized relative to one another.
-
B.
cellArrangement
Indicates how cells are organized or positioned relative to each other within a structure or system.
-
C.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
-
D.
arrangementType
Indicates the specific kind or category of arrangement that characterizes how the related entities are organized or structured in relation to each other.
-
E.
cylinderPosition
Indicates the spatial location or placement of a cylinder relative to a defined reference frame or environment.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.