Triple

T379074
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Law, Charles University E8636 entity
Predicate partOf P40 FINISHED
Object Charles University E1607 NE 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: Charles University | Statement: [Faculty of Law, Charles University, partOf, Charles University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles University
Context triple: [Faculty of Law, Charles University, partOf, Charles University]
  • A. Charles University in Prague chosen
    Charles University in Prague is one of Europe’s oldest and most prestigious universities, renowned for its historic role in Central European scholarship and research.
  • B. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • C. University of Vienna
    The University of Vienna is one of Europe's oldest and largest universities, renowned for its contributions to the humanities and sciences since its founding in 1365.
  • D. Jagiellonian University
    Jagiellonian University is one of Europe’s oldest and most prestigious universities, renowned for its research excellence and historic campus in Kraków, Poland.
  • E. Heidelberg University
    Heidelberg University is Germany’s oldest university and a leading research institution renowned for its contributions to the humanities, natural sciences, and medicine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2974988190a1d6316cbb5159c8 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413ef8ee4819092beeeb2d6563a2f completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.