Triple

T15910316
Position Surface form Disambiguated ID Type / Status
Subject Kaplan, Inc. E385830 entity
Predicate offersPreparationForExam P49795 FINISHED
Object SAT E23984 NE FINISHED

How this triple was built (3 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: SAT | Statement: [Kaplan, Inc., offersPreparationForExam, SAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAT
Context triple: [Kaplan, Inc., offersPreparationForExam, SAT]
  • A. SAT
    SAT is Mexico’s federal tax administration authority responsible for collecting taxes, overseeing customs, and enforcing fiscal regulations.
  • B. SAT chosen
    The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
  • C. SAT
    SAT is the three-letter IATA airport code for San Antonio International Airport, a major commercial airport serving San Antonio, Texas.
  • D. SAT
    SAT is the abbreviation for Japan’s elite Special Assault Team, a specialized police tactical unit trained for counterterrorism and high-risk operations.
  • E. SAT
    SAT (the Boolean satisfiability problem) is the fundamental decision problem of determining whether there exists an assignment of truth values that makes a given Boolean formula evaluate to true.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offersPreparationForExam
Context triple: [Kaplan, Inc., offersPreparationForExam, SAT]
  • A. offersCertificationPreparationFor
    Indicates that an entity provides training or resources specifically designed to prepare individuals for obtaining a particular certification.
  • B. offersExaminations
    Indicates that one entity provides or makes available examinations or tests to another entity.
  • C. examProvider
    Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
  • D. offersPreparationFor chosen
    Indicates that one entity provides training, resources, or support intended to ready another entity for a specific task, role, event, or condition.
  • E. entranceExam
    Indicates that an entity is required to pass or participate in an entrance examination as a condition for admission or access to another entity.
  • F. None of above.

Provenance (4 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69e142ca3b208190946c3aa4c1e6087c completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:52 a.m.