Triple

T5325667
Position Surface form Disambiguated ID Type / Status
Subject Public Law 87-794 E121777 entity
Predicate sponsorContext P49315 FINISHED
Object Kennedy administration trade program 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: Kennedy administration trade program | Statement: [Public Law 87-794, sponsorContext, Kennedy administration trade program]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sponsorContext
Context triple: [Public Law 87-794, sponsorContext, Kennedy administration trade program]
  • A. sponsorType
    Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
  • B. sponsorEnd
    Indicates the point in time or condition at which a sponsorship relationship or sponsorship-related action comes to an end.
  • C. sponsorInHouse
    Indicates that one entity formally supports, promotes, or funds another entity within the same organization, institution, or internal setting.
  • D. sponsorAssociatedWith
    Indicates a relationship where a sponsor is connected to, involved with, or responsible for supporting another entity.
  • E. sponsorField chosen
    Indicates that one entity acts as a sponsor specifically in the context of a particular field, domain, or area associated with 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84561c7081909e5937c7816e492c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 1:59 p.m.