Triple

T133929
Position Surface form Disambiguated ID Type / Status
Subject Small Business Technology Transfer program E2709 entity
Predicate eligiblePartner P1136 FINISHED
Object U.S. nonprofit research institution 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: U.S. nonprofit research institution | Statement: [Small Business Technology Transfer program, eligiblePartner, U.S. nonprofit research institution]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligiblePartner
Context triple: [Small Business Technology Transfer program, eligiblePartner, U.S. nonprofit research institution]
  • A. hasPartner chosen
    Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
  • B. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • C. eligibleInstitution
    Indicates that an institution satisfies specified criteria or requirements to qualify for a particular program, benefit, or status.
  • D. eligibilityCriteria
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • E. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25788b2688190a45b39447f702551 completed Feb. 28, 2026, 2:48 a.m.
PD Predicate disambiguation batch_69a25650251c81908a6ea6368cd61198 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.