Triple
T24075797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code de la sécurité sociale |
E596353
|
entity |
| Predicate | estMisÀJourPar |
P4421
|
FINISHED |
| Object | lois de financement de la sécurité sociale |
—
|
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: lois de financement de la sécurité sociale | Statement: [Code de la sécurité sociale, estMisÀJourPar, lois de financement de la sécurité sociale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estMisÀJourPar Context triple: [Code de la sécurité sociale, estMisÀJourPar, lois de financement de la sécurité sociale]
-
A.
updatedIn
Indicates that an entity has undergone a change or modification within a specified time period or version context.
-
B.
updatedEvery
Indicates that something is refreshed or brought up to date at a regular, specified interval.
-
C.
periodicallyRevisedAt
Indicates that something is updated or revised at recurring, regular points in time.
-
D.
updated
chosen
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or status.
-
E.
isUpdated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or a reference point.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1dd874819087120b06b90be485 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.