Triple
T24075783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code de la sécurité sociale |
E596353
|
entity |
| Predicate | estPubliéDans |
P309
|
FINISHED |
| Object | Journal officiel de la République française |
—
|
NE NERFINISHED |
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: Journal officiel de la République française | Statement: [Code de la sécurité sociale, estPubliéDans, Journal officiel de la République française]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estPubliéDans Context triple: [Code de la sécurité sociale, estPubliéDans, Journal officiel de la République française]
-
A.
publishedIn
chosen
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
B.
printsPublishedIn
Indicates that a print (such as an artwork or printed item) was published in a specific publication, venue, or medium.
-
C.
reportPublishedIn
Indicates that a specific report appears as content within, or is formally issued through, a particular publication venue (such as a journal, magazine, or report series).
-
D.
appearsInPublication
Indicates that an entity is featured, mentioned, or discussed within a specific publication.
-
E.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
- 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.