Triple

T34962206
Position Surface form Disambiguated ID Type / Status
Subject Ankara University Faculty of Language, History and Geography building E1008287 entity
Predicate fieldOfStudyHosted P58460 FINISHED
Object language studies 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: language studies | Statement: [Ankara University Faculty of Language, History and Geography building, fieldOfStudyHosted, language studies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldOfStudyHosted
Context triple: [Ankara University Faculty of Language, History and Geography building, fieldOfStudyHosted, language studies]
  • A. characterFieldOfStudy
    Indicates the academic or disciplinary field that a character studies or specializes in.
  • B. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • C. offersFieldOfStudy
    Indicates that an institution or program provides a particular field of study as an available area of academic focus.
  • D. housesAcademicDiscipline chosen
    Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
  • E. widelyStudiedIn
    Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or 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_69f76dc69564819099e9e78aed6ff0a6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4 p.m.