Triple

T5749937
Position Surface form Disambiguated ID Type / Status
Subject Cremona E126825 entity
Predicate hasLandmark P105 FINISHED
Object Cremona Cathedral E135416 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: Cremona Cathedral | Statement: [Cremona, hasLandmark, Cremona Cathedral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremona Cathedral
Context triple: [Cremona, hasLandmark, Cremona Cathedral]
  • A. Cremona Cathedral chosen
    Cremona Cathedral is a historic Roman Catholic church in Cremona, Italy, renowned for its Romanesque-Gothic architecture and rich musical tradition.
  • B. Parma Cathedral
    Parma Cathedral is a Romanesque Catholic cathedral in Parma, Italy, renowned for its architecture and Correggio’s celebrated frescoes.
  • C. Pavia Cathedral
    Pavia Cathedral is a prominent Renaissance-style Roman Catholic cathedral in Pavia, Italy, noted for its grand dome and historical significance.
  • D. Verona Cathedral
    Verona Cathedral is a Romanesque-style Roman Catholic cathedral in Verona, Italy, renowned for its historic architecture and religious significance.
  • E. Trento Cathedral
    Trento Cathedral is a Romanesque-Gothic Catholic cathedral in Trento, Italy, renowned as the historic seat of the Council of Trent in the 16th century.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e358d908190a37e5df89df3aedc completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.