Triple

T1446238
Position Surface form Disambiguated ID Type / Status
Subject Trafficking Victims Protection Act E31183 entity
Predicate increasesPenaltiesFor P7907 FINISHED
Object human traffickers 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: human traffickers | Statement: [Trafficking Victims Protection Act, increasesPenaltiesFor, human traffickers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: increasesPenaltiesFor
Context triple: [Trafficking Victims Protection Act, increasesPenaltiesFor, human traffickers]
  • A. penaltyProvision
    Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
  • B. punishedBy
    Indicates that an entity receives punishment administered by another entity.
  • C. increases chosen
    Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
  • D. hasPunishment
    Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
  • E. penaltyForRevealingSecrets
    Indicates that an entity incurs a punishment or negative consequence as a result of disclosing confidential or secret information.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c558e0e081909802753872374d7b completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c47a840c819083307a65c027a19e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8 p.m.