Triple
T9234832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 M60i |
E221909
|
entity |
| Predicate | equipmentPackage |
P44684
|
FINISHED |
| Object | M-specific interior equipment |
—
|
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: M-specific interior equipment | Statement: [BMW X7 M60i, equipmentPackage, M-specific interior equipment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equipmentPackage Context triple: [BMW X7 M60i, equipmentPackage, M-specific interior equipment]
-
A.
hasPerformancePackage
Indicates that an entity is equipped with or associated with a specific performance-enhancing package or upgrade.
-
B.
performancePackage
Indicates that an entity is associated with a specific performance-related bundle or configuration, typically grouping features or enhancements that affect its performance.
-
C.
productIncludes
chosen
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
D.
equipmentCharacteristic
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
-
E.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1cca0c8190bf587f54236c9e45 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.