Triple

T2714343
Position Surface form Disambiguated ID Type / Status
Subject College Board E59932 entity
Predicate testScoresUsedFor P33238 FINISHED
Object college admissions 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: college admissions | Statement: [College Board, testScoresUsedFor, college admissions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testScoresUsedFor
Context triple: [College Board, testScoresUsedFor, college admissions]
  • A. scoreUsedFor chosen
    Indicates that a particular score or rating is used for a specific purpose, decision, or downstream process.
  • B. testTriesScored
    Indicates that an entity scored a certain number of tries in a test (rugby) match.
  • C. isScoreFor
    Indicates that one value represents the score or result associated with a particular entity, event, or performance.
  • D. isUsedToTest
    Indicates that one entity serves as a means or tool for evaluating, examining, or verifying another entity.
  • E. usedInScoreGraphics
    Indicates that something (such as a technique, element, or resource) is employed within the creation or presentation of score graphics.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
PD Predicate disambiguation batch_69abd8224c688190bb4a362360b03007 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:55 p.m.