Triple

T715549
Position Surface form Disambiguated ID Type / Status
Subject Hesse E14304 entity
Predicate hasUniversity P113 FINISHED
Object Philipps-Universität Marburg E64123 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: Philipps-Universität Marburg | Statement: [Hesse, hasUniversity, Philipps-Universität Marburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philipps-Universität Marburg
Context triple: [Hesse, hasUniversity, Philipps-Universität Marburg]
  • A. University of Marburg chosen
    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.
  • 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 Würzburg
    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.
  • D. University of Jena
    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.
  • E. University of Cologne
    The University of Cologne is one of Germany’s largest and oldest universities, renowned for its research and teaching across a broad range of disciplines.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a574b4d881908b6d0be386081efd completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69add197c5248190ae37a11693975f97 completed March 8, 2026, 7:44 p.m.
Created at: March 1, 2026, 7:37 p.m.