Triple

T4784994
Position Surface form Disambiguated ID Type / Status
Subject mAb114 E106453 entity
Predicate administrationRegimen P37228 FINISHED
Object single-dose intravenous infusion 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: single-dose intravenous infusion | Statement: [mAb114, administrationRegimen, single-dose intravenous infusion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrationRegimen
Context triple: [mAb114, administrationRegimen, single-dose intravenous infusion]
  • A. doseRegimen chosen
    Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
  • B. hasDosingRegimen
    Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
  • C. typeOfAdministration
    Indicates the specific form or system of administration applied to or governing an entity.
  • D. administeredWith
    Indicates that two or more treatments, drugs, or interventions are given to a patient at the same time or as part of the same therapeutic regimen.
  • E. belongsToRegimen
    Indicates that something is a component or member of a specified regimen or structured treatment plan.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ae49ec81908f16248d22d1155f completed March 20, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69bd622e1b408190806c15c61519fc74 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:22 p.m.