Triple
T1980614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 |
E43016
|
entity |
| Predicate | flagshipModelOf |
P9819
|
FINISHED |
| Object | BMW SUV lineup |
—
|
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: BMW SUV lineup | Statement: [BMW X7, flagshipModelOf, BMW SUV lineup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipModelOf Context triple: [BMW X7, flagshipModelOf, BMW SUV lineup]
-
A.
flagshipFor
chosen
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
B.
flagshipCarrierOf
Indicates that one entity serves as the primary or most prominent carrier (such as an airline or telecommunications provider) representing or associated with another entity, typically a country, brand, or organization.
-
C.
flagshipStatus
Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
-
D.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
E.
isMilitaryVariantOf
Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb96f932881908bebfc4176fda7c0 |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb798d288819083132cf14605bd02 |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.