Triple

T7236
Position Surface form Disambiguated ID Type / Status
Subject Faculty Early Career Development (CAREER) Program E142 entity
Predicate encourages P836 FINISHED
Object integration of research results into curricula 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: integration of research results into curricula | Statement: [Faculty Early Career Development (CAREER) Program, encourages, integration of research results into curricula]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: encourages
Context triple: [Faculty Early Career Development (CAREER) Program, encourages, integration of research results into curricula]
  • A. advises
    Indicates that one entity provides guidance, recommendations, or counsel to another entity.
  • B. allows
    Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
  • C. complements
    Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
  • D. prohibits
    Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
  • E. proposes
    Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
  • F. None of above. chosen

Provenance (4 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a241a55ac081909e95b71c97db8140 completed Feb. 28, 2026, 1:15 a.m.
PD Predicate disambiguation batch_69a23fe1cf38819080ea56c40bf2632e completed Feb. 28, 2026, 1:07 a.m.
PDg Predicate description generation batch_69a241a4a0f481908de66b64c6262fcd completed Feb. 28, 2026, 1:15 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.