Triple

T4193826
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Wilhelm Joseph Schelling E89096 entity
Predicate employer P7 FINISHED
Object University of Würzburg E31858 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: University of Würzburg | Statement: [Friedrich Wilhelm Joseph Schelling, employer, University of Würzburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Würzburg
Context triple: [Friedrich Wilhelm Joseph Schelling, employer, University of Würzburg]
  • A. University of Würzburg chosen
    The University of Würzburg is a historic German public research university in Bavaria, renowned for its contributions to science and scholarship and for educating numerous notable figures.
  • B. University of Tübingen
    The University of Tübingen is a historic German public research university renowned for its strengths in the humanities, natural sciences, and medicine.
  • C. University of Augsburg
    The University of Augsburg is a public research university in Augsburg, Germany, known for its programs in economics, law, and the humanities.
  • D. Ulm University
    Ulm University is a public research university in Ulm, Germany, known for its strong programs in natural sciences, medicine, engineering, and economics.
  • E. University of Marburg
    The University of Marburg is one of Germany’s oldest universities and a prominent research institution, particularly renowned for its contributions to the 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0342c6048190835631649a14d304 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d5087b394c8190baa1ef5dbc92a0c8 completed April 7, 2026, 1:36 p.m.
Created at: March 9, 2026, 3:46 p.m.