Triple

T1645099
Position Surface form Disambiguated ID Type / Status
Subject Max Noether E35562 entity
Predicate educatedAt P5 FINISHED
Object University of Heidelberg E24597 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 Heidelberg | Statement: [Max Noether, educatedAt, University of Heidelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University of Heidelberg
Context triple: [Max Noether, educatedAt, University of Heidelberg]
  • A. Heidelberg University chosen
    Heidelberg University is Germany’s oldest university and a leading research institution renowned for its contributions to the humanities, 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 Göttingen
    The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
  • D. 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.
  • E. 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.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a41e5a08190b97dd1c0b12c662a completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69c0276db4e8819090ece339aba3a13b completed March 22, 2026, 5:31 p.m.
Created at: March 4, 2026, 7:28 p.m.