Triple

T16151263
Position Surface form Disambiguated ID Type / Status
Subject Galata Sarayı Enderun-u Hümayunu E391912 entity
Predicate selectionOfStudents P72544 FINISHED
Object highly selective 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: highly selective | Statement: [Galata Sarayı Enderun-u Hümayunu, selectionOfStudents, highly selective]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: selectionOfStudents
Context triple: [Galata Sarayı Enderun-u Hümayunu, selectionOfStudents, highly selective]
  • A. academicSelection chosen
    Indicates a relationship where an entity chooses or designates another entity for an academic purpose, role, or opportunity.
  • B. drawsStudentsFrom
    Indicates that an institution or program attracts and enrolls students originating from a particular source, place, or group.
  • C. studentsReceive
    Indicates that one or more students are the recipients of something, such as instruction, resources, or communications, from another source.
  • D. boardingStudents
    Indicates that certain students reside at and are accommodated by an educational institution, typically living on campus rather than commuting.
  • E. usesStudentsFor
    Indicates that one entity employs or exploits students as a resource or means to carry out its activities or achieve its objectives.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d981950819087fdacc7879dca97 completed April 17, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69e1828abb608190a99d86bce1d77de2 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.