Triple

T9318828
Position Surface form Disambiguated ID Type / Status
Subject University of Innsbruck E224192 entity
Predicate shortName P43 FINISHED
Object Uni Innsbruck E224192 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: Uni Innsbruck | Statement: [University of Innsbruck, shortName, Uni Innsbruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uni Innsbruck
Context triple: [University of Innsbruck, shortName, Uni Innsbruck]
  • A. University of Innsbruck chosen
    The University of Innsbruck is a major Austrian public research university located in the city of Innsbruck, known for its strong programs across the sciences and humanities and its Alpine setting.
  • B. University of Salzburg
    The University of Salzburg is a public research university in Salzburg, Austria, known for its strong programs in the humanities, social sciences, and law.
  • C. University of Graz
    The University of Graz is one of Austria’s oldest and largest universities, renowned for its contributions to science and the humanities and for having hosted prominent scholars such as physicist Ludwig Boltzmann.
  • D. Johannes Kepler University Linz
    Johannes Kepler University Linz is a public research university in Linz, Austria, known for its strong programs in science, engineering, business, and law.
  • E. TU Austria
    TU Austria is an alliance of leading Austrian universities of technology that collaborate in research, teaching, and innovation.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3a3fb288190ac38f8df19eb1e79 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:38 p.m.