Triple

T17922839
Position Surface form Disambiguated ID Type / Status
Subject MSc in Management E448114 entity
Predicate mayRequire P100 FINISHED
Object GRE NE NERFINISHED

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: GRE | Statement: [MSc in Management, mayRequire, GRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GRE
Context triple: [MSc in Management, mayRequire, GRE]
  • A. GRE
    GRE is the three-letter International Olympic Committee country code representing Greece in Olympic competitions.
  • B. GRE chosen
    The GRE (Graduate Record Examination) is a standardized test widely used for admission to graduate and business school programs, assessing verbal reasoning, quantitative reasoning, and analytical writing skills.
  • C. GMAT
    The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
  • D. SAT
    SAT is the three-letter IATA airport code for San Antonio International Airport, a major commercial airport serving San Antonio, Texas.
  • E. SAT
    SAT is Mexico’s federal tax administration authority responsible for collecting taxes, overseeing customs, and enforcing fiscal regulations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30ad8748190b28d3e8b5afab2ef completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.