Triple

T10884859
Position Surface form Disambiguated ID Type / Status
Subject Hugo Junkers E257015 entity
Predicate employer P7 FINISHED
Object Technische Hochschule Aachen E178808 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: Technische Hochschule Aachen | Statement: [Hugo Junkers, employer, Technische Hochschule Aachen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Technische Hochschule Aachen
Context triple: [Hugo Junkers, employer, Technische Hochschule Aachen]
  • A. RWTH Aachen University chosen
    RWTH Aachen University is a leading German public research university renowned for its engineering, technology, and natural sciences programs.
  • B. Königliche Technische Hochschule zu Hannover
    Königliche Technische Hochschule zu Hannover was the historical predecessor institution of today’s Leibniz University Hannover, serving as a major technical university in Hanover, Germany.
  • C. Technische Universität Dortmund
    Technische Universität Dortmund is a German public research university in Dortmund known for its strong programs in engineering, natural sciences, computer science, and education.
  • D. Clausthal University of Technology
    Clausthal University of Technology is a German public research university renowned for its engineering, natural sciences, and mining-related programs.
  • E. University of Stuttgart
    The University of Stuttgart is a major German public research university renowned for its strong engineering, natural sciences, and technology programs.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dd6a3c81909965ef774e8b7309 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ecf1c48190aef0d31ef03d1f88 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.