Triple

T442851
Position Surface form Disambiguated ID Type / Status
Subject Cannabis E10150 entity
Predicate riskIncludes P8576 FINISHED
Object cannabis use disorder 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: cannabis use disorder | Statement: [Cannabis, riskIncludes, cannabis use disorder]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskIncludes
Context triple: [Cannabis, riskIncludes, cannabis use disorder]
  • A. riskFeature chosen
    Indicates that one entity possesses or exhibits a characteristic, condition, or attribute that increases the likelihood or severity of a negative outcome for another entity or situation.
  • B. risk
    Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
  • C. riskLevel
    Indicates the degree of potential harm, loss, or adverse outcome associated with a particular situation, action, or entity.
  • D. riskIfNoncompliance
    Indicates that a risk or negative consequence will occur if the specified rules, requirements, or obligations are not complied with.
  • E. riskProfile
    Indicates the level and characteristics of potential risk associated with an entity, action, or situation.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef43e8f88190a5d368add11a38c0 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2edde2b9c8190bd20b582eb4c5065 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.