Triple

T25740693
Position Surface form Disambiguated ID Type / Status
Subject Technology Management MBA E648206 entity
Predicate typicalApplicantsHave P4802 FINISHED
Object professional work experience 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: professional work experience | Statement: [Technology Management MBA, typicalApplicantsHave, professional work experience]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalApplicantsHave
Context triple: [Technology Management MBA, typicalApplicantsHave, professional work experience]
  • A. typicalApplicantBackground chosen
    Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
  • B. admissionsStandard
    Indicates that there is a specified criterion or set of requirements that must be met for admission to a program, institution, or opportunity.
  • C. typicalAdmissionSelectivity
    Indicates the usual level of competitiveness or restrictiveness in admitting applicants to an institution or program.
  • D. applicantMust
    Indicates that a specified applicant is required to satisfy, perform, or comply with a particular condition, action, or obligation.
  • E. typicalDegree
    Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given 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_69e7ab306eec8190b05c312c6ab186b8 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69fd884cb2b48190b6acd473430d9e19 completed May 8, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69fd8709ca208190a8bab836f0156af5 completed May 8, 2026, 6:47 a.m.
Created at: April 22, 2026, 3:43 a.m.