Triple

T21788434
Position Surface form Disambiguated ID Type / Status
Subject Central European University E537899 entity
Predicate formerAccreditation P145652 FINISHED
Object Hungary NE NERFINISHED

How this triple was built (3 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: Hungary | Statement: [Central European University, formerAccreditation, Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungary
Context triple: [Central European University, formerAccreditation, Hungary]
  • A. Hungary chosen
    Hungary is a landlocked Central European country known for its rich history, distinct language (Hungarian), and capital city Budapest, famed for its thermal baths and architecture.
  • B. Ungarie
    Ungarie is a small rural town in New South Wales, Australia, known for its agricultural community and location within the Bland Shire local government area.
  • C. Austria and Hungary
    Austria and Hungary are neighboring Central European countries with closely linked histories, cultures, and transportation networks.
  • D. Ungar
    Ungar is a surname of Germanic and Central European origin, historically associated with people from Hungary or of Hungarian descent.
  • E. Slovakia and Hungary
    Slovakia and Hungary are neighboring Central European countries that share a significant stretch of their border along the Danube River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerAccreditation
Context triple: [Central European University, formerAccreditation, Hungary]
  • A. accreditation
    Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
  • B. wasAccreditedIn
    Indicates that an entity received official accreditation or certification in a specified year, date, or time period.
  • C. accreditsThrough
    Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
  • D. accreditedTo
    Indicates that official recognition, authorization, or credit for something is granted by or associated with a particular entity.
  • E. accreditingBody
    Indicates that an entity serves as the official organization that grants accreditation or formal recognition to another entity.
  • F. None of above. chosen

Provenance (4 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621dfa3c8190921bfccbff7331f2 completed April 28, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69e6be751ce881909badced245ef76c7 completed April 21, 2026, 12:01 a.m.
PDg Predicate description generation batch_69e6c3a2898881909748935cf92f898c completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 6:52 p.m.