Triple

T33654112
Position Surface form Disambiguated ID Type / Status
Subject Integrated Reasoning E862174 entity
Predicate testSectionOf P177478 FINISHED
Object Executive Assessment cognitive skills battery 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: Executive Assessment cognitive skills battery | Statement: [Integrated Reasoning, testSectionOf, Executive Assessment cognitive skills battery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: testSectionOf
Context triple: [Integrated Reasoning, testSectionOf, Executive Assessment cognitive skills battery]
  • A. testSectionType
    Indicates the specific category or kind of section that a test (or exam) is divided into, such as multiple-choice, essay, or practical.
  • B. testSectionAlignment
    Indicates that a test section is positioned or ordered in a way that matches a specified reference or expected alignment.
  • C. isOnSectionOf
    Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
  • D. appliesToSectionOf
    Indicates that something is relevant or applicable specifically to a particular section or subsection of a larger whole.
  • E. testSectionHeight
    Indicates that a specific test section has a particular height value or measurement.
  • F. None of above. chosen

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_69f349840ba881908e3bfce536aeb92b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb93224881908fc66fe76115fcdb completed May 3, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
PDg Predicate description generation batch_69f6fb17d5ec81909091e37e1ddbe577 completed May 3, 2026, 7:36 a.m.
Created at: May 1, 2026, 1:42 a.m.