Triple

T708890
Position Surface form Disambiguated ID Type / Status
Subject Prague E14162 entity
Predicate hasUniversity P113 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: [Prague, hasUniversity, Charles University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles University
Context triple: [Prague, hasUniversity, 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. University of Lviv
    The University of Lviv is one of the oldest and most prominent universities in Eastern Europe, located in Lviv, Ukraine, with a long tradition in the humanities and sciences.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a548e6dc819090d31ce33493a396 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf4b62b08190bc8d5978595ce60b completed March 4, 2026, 6:20 a.m.
Created at: March 1, 2026, 7:36 p.m.