Triple
T30913147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW production network |
E787510
|
entity |
| Predicate | usesProductionConcept |
P56743
|
FINISHED |
| Object | flexible production |
—
|
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: flexible production | Statement: [BMW production network, usesProductionConcept, flexible production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesProductionConcept Context triple: [BMW production network, usesProductionConcept, flexible production]
-
A.
usesProductionModel
Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
-
B.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
-
C.
usesProductionResourcesOf
Indicates that one entity makes use of the production resources (such as facilities, equipment, or infrastructure) that belong to or are operated by another entity.
-
D.
usesProductionStyle
chosen
Indicates that one entity creates, presents, or operates another entity using a particular production style or method.
-
E.
fromProduction
Indicates that something originates from, is derived from, or is produced by a particular production process, source, or facility.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 29, 2026, 8:51 p.m.