Triple

T5895581
Position Surface form Disambiguated ID Type / Status
Subject Writing and Language E131092 entity
Predicate partOf P40 FINISHED
Object PSAT/NMSQT E24416 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: PSAT/NMSQT | Statement: [Writing and Language, partOf, PSAT/NMSQT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PSAT/NMSQT
Context triple: [Writing and Language, partOf, PSAT/NMSQT]
  • A. PSAT/NMSQT chosen
    The PSAT/NMSQT is a standardized, preliminary version of the SAT taken by high school students in the United States that also serves as the qualifying test for the National Merit Scholarship Program.
  • B. SAT
    SAT is Mexico’s federal tax administration authority responsible for collecting taxes, overseeing customs, and enforcing fiscal regulations.
  • C. SAT
    The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
  • D. SAT
    SAT is the three-letter IATA airport code for San Antonio International Airport, a major commercial airport serving San Antonio, Texas.
  • E. 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.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f3364c81909353f62ca483f24f completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c000dfb481908cf37e5c143f4cae completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.