Triple

T22137885
Position Surface form Disambiguated ID Type / Status
Subject DDDN E547078 entity
Predicate therapeuticActivities P73562 FINISHED
Object medical management of digestive diseases 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: medical management of digestive diseases | Statement: [DDDN, therapeuticActivities, medical management of digestive diseases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: therapeuticActivities
Context triple: [DDDN, therapeuticActivities, medical management of digestive diseases]
  • A. encouragesActivities
    Indicates that one entity promotes, supports, or motivates another entity to engage in certain activities.
  • B. includesTherapy chosen
    Indicates that one entity contains, offers, or encompasses a specific therapeutic treatment or intervention as part of its scope or composition.
  • C. activityType
    Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
  • D. mannerOfActivity
    Indicates the way or style in which an activity is performed or carried out.
  • E. activitiesCarriedOutFor
    Indicates that certain activities are performed on behalf of, in service of, or for the benefit of a particular 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bb78bc8190b74af3a5f6a5348f completed April 28, 2026, 9:42 p.m.
PD Predicate disambiguation batch_69e71b384e008190b723c9a0f1089d66 completed April 21, 2026, 6:37 a.m.
Created at: April 16, 2026, 8:32 p.m.