Triple

T2138567
Position Surface form Disambiguated ID Type / Status
Subject Lucentis E46708 entity
Predicate hasAdministrationPattern P11436 FINISHED
Object treat-and-extend regimens may be used 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: treat-and-extend regimens may be used | Statement: [Lucentis, hasAdministrationPattern, treat-and-extend regimens may be used]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdministrationPattern
Context triple: [Lucentis, hasAdministrationPattern, treat-and-extend regimens may be used]
  • A. hasAdministrativeType
    Indicates that an entity is associated with a specific category or level of administrative classification (such as type of jurisdiction or administrative unit).
  • B. hasAdministrationSite
    Indicates the specific location or site on or in a subject where a substance, treatment, or intervention is administered.
  • C. hasManagement
    Indicates that one entity exercises managerial authority or oversight over another entity.
  • D. hasAdministrativeArea
    Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
  • E. typeOfAdministration chosen
    Indicates the specific form or system of administration applied to or governing an 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbf74147c81908793c3694894f94a completed March 7, 2026, 6:02 a.m.
PD Predicate disambiguation batch_69abbd96a3b0819081efbfef975e1513 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.