Triple

T10427584
Position Surface form Disambiguated ID Type / Status
Subject BASIC-256 E245824 entity
Predicate intendedDifficultyLevel P2406 FINISHED
Object introductory 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: introductory | Statement: [BASIC-256, intendedDifficultyLevel, introductory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedDifficultyLevel
Context triple: [BASIC-256, intendedDifficultyLevel, introductory]
  • A. difficulty chosen
    Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
  • B. intendedReadingLevel
    Indicates the reading proficiency or audience level that a text or resource is designed or meant to be understood by.
  • C. difficultyRelativeTo
    Indicates that one entity’s level of difficulty is being compared to and expressed in relation to another entity’s level of difficulty.
  • D. difficultyClassRange
    Indicates the range of difficulty classes within which an action, task, or challenge is considered to fall.
  • E. difficultySource
    Indicates that one entity is the cause, origin, or contributing factor to the difficulty or challenge experienced in relation to another entity or situation.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69d4dfb9d3648190aaabed901f22a8c0 completed April 7, 2026, 10:43 a.m.
Created at: April 6, 2026, 12:12 p.m.