Triple
T20061168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bpifrance |
E499476
|
entity |
| Predicate | relationshipWithState |
P50945
|
FINISHED |
| Object | acts as an instrument of French industrial policy |
—
|
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: acts as an instrument of French industrial policy | Statement: [Bpifrance, relationshipWithState, acts as an instrument of French industrial policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithState Context triple: [Bpifrance, relationshipWithState, acts as an instrument of French industrial policy]
-
A.
relationshipToState
chosen
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
B.
relationshipToStateLaw
Indicates how something is connected or subject to the provisions, requirements, or authority of a particular state law.
-
C.
stateOfRelations
Indicates the current nature or condition of the relationship between two or more entities, such as whether it is friendly, hostile, neutral, or otherwise characterized.
-
D.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
E.
associatedWithStateCode
Indicates that an entity has a connection or linkage to a particular state identified by its state code.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:38 p.m.