Triple

T10401871
Position Surface form Disambiguated ID Type / Status
Subject Sebamed Baby E245167 entity
Predicate hasIntendedFunction P13995 FINISHED
Object protect baby skin barrier 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: protect baby skin barrier | Statement: [Sebamed Baby, hasIntendedFunction, protect baby skin barrier]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntendedFunction
Context triple: [Sebamed Baby, hasIntendedFunction, protect baby skin barrier]
  • A. intendedFunction chosen
    Indicates that something is designed or purposed to perform a particular role, use, or function.
  • B. hasIntendedEffect
    Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
  • C. hasIntent
    Indicates that an entity possesses a purpose, plan, or goal directing its actions or behavior toward a particular outcome.
  • D. hadFunction
    Indicates that an entity previously served or fulfilled a particular role, purpose, or function.
  • E. hasPrimaryFunction
    Indicates that one entity serves as the main or principal function or role of another entity.
  • 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.