Triple

T6918145
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Darmstadt E160115 entity
Predicate memberOf P10 FINISHED
Object TU9 E126174 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: TU9 | Statement: [Technical University of Darmstadt, memberOf, TU9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TU9
Context triple: [Technical University of Darmstadt, memberOf, TU9]
  • A. TU9 chosen
    TU9 is an alliance of nine leading German Institutes of Technology focused on engineering and natural sciences research and education.
  • B.
    TÜ is the official vehicle registration code used on license plates for the district of Tübingen in Germany.
  • C. Tu
    The Tu are a Mongolic-speaking ethnic minority in northwestern China, known for their Tibetan Buddhist traditions and distinctive agrarian culture in Qinghai and Gansu provinces.
  • D. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • E. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512b39b081908370c43ed3d65829 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.