Triple

T2994021
Position Surface form Disambiguated ID Type / Status
Subject Felix Adler E81023 entity
Predicate educatedAt P5 FINISHED
Object Heidelberg University 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: Heidelberg University | Statement: [Felix Adler, educatedAt, Heidelberg University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidelberg University
Context triple: [Felix Adler, educatedAt, Heidelberg University]
  • 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 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e291e0819089f81c0a7d7a6cd9 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca293158d4819091918490eec7eb5b completed March 30, 2026, 7:41 a.m.
Created at: March 8, 2026, 2:59 p.m.