Triple

T3579815
Position Surface form Disambiguated ID Type / Status
Subject Krannert Foundation E75772 entity
Predicate benefitsCommunity P11337 FINISHED
Object students at the University of Illinois 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: students at the University of Illinois | Statement: [Krannert Foundation, benefitsCommunity, students at the University of Illinois]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: benefitsCommunity
Context triple: [Krannert Foundation, benefitsCommunity, students at the University of Illinois]
  • A. includesCommunity
    Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
  • B. communityService
    Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
  • C. focusesOnCommunity
    Indicates that the subject prioritizes and directs attention or effort toward the well-being, needs, or development of a community.
  • D. supportsCommunity chosen
    Indicates that one entity provides assistance, resources, or encouragement that benefits a community or group.
  • E. benefits
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ffecdc8190bf01c8ba90e3733e completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.