Triple

T1292579
Position Surface form Disambiguated ID Type / Status
Subject Active Cosmetics Division E27578 entity
Predicate targetCondition P860 FINISHED
Object acne-prone skin 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: acne-prone skin | Statement: [Active Cosmetics Division, targetCondition, acne-prone skin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetCondition
Context triple: [Active Cosmetics Division, targetCondition, acne-prone skin]
  • A. coreCondition
    Indicates that something serves as the primary or fundamental condition that must hold for a situation, process, or relationship to apply.
  • B. target chosen
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • C. presentCondition
    Indicates that an entity currently has or exhibits a particular state, situation, or condition.
  • D. authorizationCondition
    Indicates the specific rules or requirements that must be satisfied for an action or access to be legally or formally authorized.
  • E. navigationCondition
    Indicates the specific circumstances or requirements that must be satisfied for a navigation action or route to be valid or taken.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.