Triple

T6539869
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science, University of Padua E168257 entity
Predicate locatedIn P40 FINISHED
Object Padua E33673 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: Padua | Statement: [Faculty of Science, University of Padua, locatedIn, Padua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padua
Context triple: [Faculty of Science, University of Padua, locatedIn, Padua]
  • A. Padua chosen
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • B. Rovigo
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • C. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • D. Trento
    Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
  • E. Vicenza
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add5d3848190a0d70dc4013ab756 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a5fb5f88190942a67cb38378964 completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 1:50 p.m.