Triple

T20356150
Position Surface form Disambiguated ID Type / Status
Subject Tihar Jail E496651 entity
Predicate rehabilitationPrograms P136130 FINISHED
Object vocational training 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: vocational training | Statement: [Tihar Jail, rehabilitationPrograms, vocational training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rehabilitationPrograms
Context triple: [Tihar Jail, rehabilitationPrograms, vocational training]
  • A. rehabilitationProject
    Indicates that an entity is involved in a project aimed at restoring, improving, or returning something to a better or functional condition.
  • B. hasRehabilitationFocus chosen
    Indicates that an entity is oriented toward or primarily concerned with rehabilitation activities, goals, or outcomes.
  • C. rehabilitationEvent
    Indicates an event in which an entity undergoes a process of rehabilitation, such as recovery, restoration, or reintegration following damage, illness, or misconduct.
  • D. rehabilitates
    Indicates that one entity restores, reforms, or helps another entity return to a previous or improved functional, social, or legal state after damage, illness, or wrongdoing.
  • E. rehabilitatedBy
    Indicates that an entity has been restored, treated, or brought back to a better or functional state through the actions or intervention of another 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67853f10881908ecde94036804a8a completed April 20, 2026, 7:02 p.m.
PD Predicate disambiguation batch_69e57636b4808190bc2855af48a3ccdc completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:25 a.m.