Triple

T10414286
Position Surface form Disambiguated ID Type / Status
Subject Executive Assessment E245475 entity
Predicate comparedWith P278 FINISHED
Object GMAT E8744 NE 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: GMAT | Statement: [Executive Assessment, comparedWith, GMAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMAT
Context triple: [Executive Assessment, comparedWith, GMAT]
  • A. GMAT chosen
    The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
  • B. GRE
    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. GRE
    GRE is the three-letter International Olympic Committee country code representing Greece in Olympic competitions.
  • D. UP College Admission Test
    The UP College Admission Test is a highly competitive standardized exam used to select incoming students for the University of the Philippines, the country’s premier public university system.
  • E. NMAT by GMAC
    NMAT by GMAC is a standardized management entrance exam used primarily for admission to MBA and other graduate business programs, particularly in India and select international schools.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0ec6fc8190a71af759226a3cba completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc043074819083d219ec1c40f931 completed April 9, 2026, 7:20 p.m.
Created at: April 6, 2026, 12:10 p.m.