Triple

T18770772
Position Surface form Disambiguated ID Type / Status
Subject Project Management Professional certification E459010 entity
Predicate typicalBenefit P487 FINISHED
Object enhanced career opportunities 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: enhanced career opportunities | Statement: [Project Management Professional certification, typicalBenefit, enhanced career opportunities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalBenefit
Context triple: [Project Management Professional certification, typicalBenefit, enhanced career opportunities]
  • A. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • B. benefitCharacteristic
    Indicates that one entity possesses a quality or feature that provides an advantage, usefulness, or positive effect to another entity.
  • C. benefits chosen
    Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
  • D. benefitsArea
    Indicates that one entity provides advantages, improvements, or positive effects to a specified area or region.
  • E. benefitAppliesTo
    Indicates that a particular benefit is applicable to, or valid for, a specified entity or context.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59335a01881908731371be1e27a6b completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d0b7b708190877951b6e6cdcbc4 completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.