Triple

T17638567
Position Surface form Disambiguated ID Type / Status
Subject Axel Oxenstierna E429162 entity
Predicate educatedAt P5 FINISHED
Object University of Jena NE NERFINISHED

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 Jena | Statement: [Axel Oxenstierna, educatedAt, University of Jena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Jena
Context triple: [Axel Oxenstierna, educatedAt, University of Jena]
  • A. University of Jena chosen
    The University of Jena is a historic German higher education institution, renowned for its contributions to philosophy, science, and the humanities since its founding in the 16th century.
  • B. University of Leipzig
    The University of Leipzig is one of Germany’s oldest and most prestigious universities, renowned for its contributions to research and education in the humanities, natural sciences, and social sciences.
  • C. University of Halle
    The University of Halle is a historic German university, now part of Martin Luther University of Halle-Wittenberg, known as a major center of Enlightenment-era scholarship and philosophy.
  • D. University of Gießen
    The University of Gießen is a German public research university in Hesse, known especially for its strong programs in the natural sciences, life sciences, and humanities.
  • 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 (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de2c85c819087e17a9ff93e4964 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 6 a.m.