Triple

T756170
Position Surface form Disambiguated ID Type / Status
Subject Ernst Mach E15560 entity
Predicate employer P7 FINISHED
Object Charles University in Prague 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 in Prague | Statement: [Ernst Mach, employer, Charles University in Prague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles University in Prague
Context triple: [Ernst Mach, employer, Charles University in Prague]
  • 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 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.
  • C. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • D. Czech Technical University in Prague
    Czech Technical University in Prague is one of the oldest and largest technical universities in Europe, renowned for its engineering, architecture, and applied science programs.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6693cbc8190a167e12a896d7ce7 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac118aa3c48190be7ca68d17457ea8 completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:37 p.m.