Triple

T11034383
Position Surface form Disambiguated ID Type / Status
Subject Environmental Science, Technology & Policy E260839 entity
Predicate typicalCourseworkIncludes P43765 FINISHED
Object environmental chemistry 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: environmental chemistry | Statement: [Environmental Science, Technology & Policy, typicalCourseworkIncludes, environmental chemistry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalCourseworkIncludes
Context triple: [Environmental Science, Technology & Policy, typicalCourseworkIncludes, environmental chemistry]
  • A. typicalCourse
    Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
  • B. typicalCourseTopic chosen
    Indicates that a given topic is commonly or characteristically covered as part of a particular course.
  • C. typicalGradesInclude
    Indicates that a set of commonly expected or standard grades for something contains the specified grade or grades.
  • D. curriculumIncluded
    Indicates that a particular subject, topic, or component is part of a defined curriculum or course of study.
  • E. typicalStudentAssignment
    Indicates that an assignment is a standard or commonly expected task given to a student in a particular educational context.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e709648190adbb05197e15ff76 completed April 9, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69d7440087ac8190aef2e6f6b13b2635 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:25 p.m.