Triple

T2084330
Position Surface form Disambiguated ID Type / Status
Subject Pathologies of Power E45313 entity
Predicate containsCaseStudy P2398 FINISHED
Object multidrug-resistant tuberculosis in Peru and Russia 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: multidrug-resistant tuberculosis in Peru and Russia | Statement: [Pathologies of Power, containsCaseStudy, multidrug-resistant tuberculosis in Peru and Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsCaseStudy
Context triple: [Pathologies of Power, containsCaseStudy, multidrug-resistant tuberculosis in Peru and Russia]
  • A. hasCaseStudy chosen
    Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
  • B. hasStudyModel
    Indicates that an entity is associated with, or defined by, a particular study model used for analysis, simulation, or representation.
  • C. hasScientificStudy
    Indicates that there exists a scientific study that investigates, analyzes, or provides evidence about the referenced entity or relationship.
  • D. studiesProcess
    Indicates that an entity systematically examines, researches, or learns about a particular process.
  • E. developedInCase
    Indicates that something (such as a method, argument, or principle) was formulated, articulated, or established within the context of a particular case.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba524b60819089a11957ce6dbc4b completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:41 p.m.