Triple

T140616
Position Surface form Disambiguated ID Type / Status
Subject Stanford University E2841 entity
Predicate studentEnrollment P48 FINISHED
Object over 15,000 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: over 15,000 | Statement: [Stanford University, studentEnrollment, over 15,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studentEnrollment
Context triple: [Stanford University, studentEnrollment, over 15,000]
  • A. hasStudents chosen
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • B. undergraduateEnrollment
    Indicates the number of undergraduate students enrolled in an institution or program.
  • C. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • D. isStudiedIn
    Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
  • E. schoolBoard
    Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c7e79c8190b3e5a2983035a972 completed Feb. 28, 2026, 2:49 a.m.
PD Predicate disambiguation batch_69a2565426c08190aab68e34a6a2d60e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.