Triple

T133958
Position Surface form Disambiguated ID Type / Status
Subject Small Business Technology Transfer program E2709 entity
Predicate targetOutcome P374 FINISHED
Object commercial products and services based on federally funded R&D 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: commercial products and services based on federally funded R&D | Statement: [Small Business Technology Transfer program, targetOutcome, commercial products and services based on federally funded R&D]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetOutcome
Context triple: [Small Business Technology Transfer program, targetOutcome, commercial products and services based on federally funded R&D]
  • A. target
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • B. secondaryGoal
    Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
  • C. result chosen
    Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
  • D. hasPrimaryGoal
    Indicates that an entity’s main or most important objective is the specified goal.
  • E. primaryTarget
    Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
  • 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.