Triple

T5981405
Position Surface form Disambiguated ID Type / Status
Subject ENGAGE (Study 301) E133124 entity
Predicate safetyPopulation P17586 FINISHED
Object patients receiving aducanumab and placebo 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: patients receiving aducanumab and placebo | Statement: [ENGAGE (Study 301), safetyPopulation, patients receiving aducanumab and placebo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyPopulation
Context triple: [ENGAGE (Study 301), safetyPopulation, patients receiving aducanumab and placebo]
  • A. targetedPopulation chosen
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • B. permanentPopulation
    Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
  • C. populationScale
    Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
  • D. populationIncludes
    Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
  • E. population
    Indicates the total number of individuals living in or present within a specified area or group.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6921b081908a6f6323d5c7a062 completed March 22, 2026, 8 p.m.
PD Predicate disambiguation batch_69c049de98648190962b14fd341c93da completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:04 p.m.