Triple
T10401881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebamed Baby |
E245167
|
entity |
| Predicate | hasRecommendedUse |
P34894
|
FINISHED |
| Object | from birth onwards (depending on product) |
—
|
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: from birth onwards (depending on product) | Statement: [Sebamed Baby, hasRecommendedUse, from birth onwards (depending on product)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecommendedUse Context triple: [Sebamed Baby, hasRecommendedUse, from birth onwards (depending on product)]
-
A.
recommendsUseOf
chosen
Indicates that one entity advises, endorses, or suggests the use of another entity as appropriate or beneficial in a given context.
-
B.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
-
C.
hasRecommendedActivity
Indicates that one entity suggests or endorses a particular activity for another entity to perform or engage in.
-
D.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
-
E.
hasRecommendationNumber
Indicates that an entity is associated with a specific recommendation identified by a particular number.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.