Triple

T1103729
Position Surface form Disambiguated ID Type / Status
Subject Leqembi E25439 entity
Predicate isAdministeredIn P9097 FINISHED
Object hospital or infusion center settings 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: hospital or infusion center settings | Statement: [Leqembi, isAdministeredIn, hospital or infusion center settings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isAdministeredIn
Context triple: [Leqembi, isAdministeredIn, hospital or infusion center settings]
  • A. administeredAs
    Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
  • B. administeredBy
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • C. establishedInAdministrativeUnit
    Indicates that something (such as an organization, facility, or institution) was founded or formally created within a specific administrative unit or jurisdiction.
  • D. hasAdministrativeUnit
    Indicates that one entity possesses, contains, or is associated with another entity that functions as its administrative subdivision or governing unit.
  • E. administeredWithin chosen
    Indicates that one entity is given, applied, or carried out inside the spatial or temporal bounds of another entity (such as a location, container, or time period).
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c375848190baec4d534f489616 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b7472c848190b0643872f67084a2 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:43 p.m.