Triple

T21170120
Position Surface form Disambiguated ID Type / Status
Subject Prime Student E521667 entity
Predicate includesBenefitCategory P75212 FINISHED
Object shipping benefits 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: shipping benefits | Statement: [Prime Student, includesBenefitCategory, shipping benefits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesBenefitCategory
Context triple: [Prime Student, includesBenefitCategory, shipping benefits]
  • A. hasBenefitType chosen
    Indicates that an entity is associated with a specific category or type of benefit it provides or receives.
  • B. hasBenefit
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • C. benefitAppliesTo
    Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
  • D. isIndividualBenefit
    Indicates that something provides a benefit or advantage to a single individual rather than to a group or collective.
  • E. benefitAdministered
    Indicates that a benefit (such as aid, service, or entitlement) has been formally provided or delivered to an eligible recipient by an administering party.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72712893081908e394ccc7e0cbb53 completed April 21, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3 p.m.