Triple

T32958
Position Surface form Disambiguated ID Type / Status
Subject Marbury v. Madison E657 entity
Predicate taughtIn P770 FINISHED
Object law school constitutional law courses 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: law school constitutional law courses | Statement: [Marbury v. Madison, taughtIn, law school constitutional law courses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: taughtIn
Context triple: [Marbury v. Madison, taughtIn, law school constitutional law courses]
  • A. hasTeachingAuthority
    Indicates that one entity possesses the recognized power or right to teach, instruct, or provide formal education to another entity or within a specific context.
  • B. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • C. isStudiedIn chosen
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • D. hasFaculty
    Indicates that an institution or department possesses or is associated with one or more faculty members.
  • E. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2496ffc548190b545f998cbebd5b9 completed Feb. 28, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69a248717f5081909952a8c9ed1e1742 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.