Triple

T1229123
Position Surface form Disambiguated ID Type / Status
Subject TB REACH E26395 entity
Predicate focusesOnActivity P31 FINISHED
Object tuberculosis case detection 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: tuberculosis case detection | Statement: [TB REACH, focusesOnActivity, tuberculosis case detection]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnActivity
Context triple: [TB REACH, focusesOnActivity, tuberculosis case detection]
  • A. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. focusesOnTeam
    Indicates that the subject directs attention, effort, or priority toward a particular team as the main area of concern or activity.
  • C. exportActivity
    Indicates an action where goods, services, or data are sent out from one entity or region to another for trade or distribution across borders.
  • D. activity
    Indicates that an entity is engaged in or performing a particular action, behavior, or process.
  • E. hasActivityIn
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3dac2c8190914ff27173bb6b34 completed March 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.