Triple

T479688
Position Surface form Disambiguated ID Type / Status
Subject WPI Engineers E9138 entity
Predicate academicFocusOfInstitution P778 FINISHED
Object science, technology, engineering, and mathematics 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: science, technology, engineering, and mathematics | Statement: [WPI Engineers, academicFocusOfInstitution, science, technology, engineering, and mathematics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicFocusOfInstitution
Context triple: [WPI Engineers, academicFocusOfInstitution, science, technology, engineering, and mathematics]
  • A. academicFocus chosen
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • B. workInstitution
    Indicates that an entity is employed by or works at a particular institution.
  • C. academicType
    Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
  • D. academicStructure
    Indicates a hierarchical or organizational relationship within an academic system, such as how programs, departments, courses, or degrees are structured and related to one another.
  • E. typeOfInstitution
    Indicates the specific kind or category of institution that an entity belongs to or is classified as.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f057c4ac819080cf43ffaa56c350 completed Feb. 28, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69a2edf1d5848190a7da27e2fddc136f completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.