Triple
T10999795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Innovation, Science and Industry |
E259974
|
entity |
| Predicate | hasFrenchLabel |
P6538
|
FINISHED |
| Object | ministre de l’Innovation, des Sciences et de l’Industrie |
—
|
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: ministre de l’Innovation, des Sciences et de l’Industrie | Statement: [Minister of Innovation, Science and Industry, hasFrenchLabel, ministre de l’Innovation, des Sciences et de l’Industrie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrenchLabel Context triple: [Minister of Innovation, Science and Industry, hasFrenchLabel, ministre de l’Innovation, des Sciences et de l’Industrie]
-
A.
hasFrenchSector
Indicates that an entity includes, controls, or is associated with a sector or area designated as French.
-
B.
isFrancophoneCounterpartOf
Indicates that one entity serves as the French-speaking or French-language equivalent or counterpart of another entity.
-
C.
capsForFrance
Indicates that an individual has made official playing appearances (caps) for the France national team.
-
D.
usesPrimaryFrenchGateway
Indicates that an entity routes its primary communications or connections through a main gateway located in or associated with French infrastructure or networks.
-
E.
nameInFrench
chosen
Indicates that an entity is known or referred to by a specific name expressed in the French language.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d5457c819096630246fa5f7076 |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.