Triple

T857257
Position Surface form Disambiguated ID Type / Status
Subject University of Turin E18519 entity
Predicate shortName P43 FINISHED
Object UniTo E18519 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: UniTo | Statement: [University of Turin, shortName, UniTo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UniTo
Context triple: [University of Turin, shortName, UniTo]
  • A. University of Milan
    The University of Milan is a major Italian public research university in Milan, renowned for its strong academic programs and scientific output.
  • B. University of Trento
    The University of Trento is a public Italian university known for its strong research output and high international rankings, particularly in social sciences, engineering, and information technology.
  • C. University of Parma
    The University of Parma is one of Italy’s oldest universities, a historic higher education institution located in the city of Parma in the Emilia-Romagna region.
  • D. University of Florence
    The University of Florence is a major Italian public research university in Florence, renowned for its historical roots in the Renaissance and its broad range of academic disciplines.
  • E. University of Turin chosen
    The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c018d28881909a3f032e1435970a completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.