Triple

T9278889
Position Surface form Disambiguated ID Type / Status
Subject Via Belenzani E223018 entity
Predicate hasBuilding P105 FINISHED
Object Palazzo Belenzani
Palazzo Belenzani is a historic Renaissance palace in Trento, Italy, noted for its elegant façade and richly frescoed exterior.
E800364 NE FINISHED

How this triple was built (4 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: Palazzo Belenzani | Statement: [Via Belenzani, hasBuilding, Palazzo Belenzani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palazzo Belenzani
Context triple: [Via Belenzani, hasBuilding, Palazzo Belenzani]
  • A. Palazzo Brentani
    Palazzo Brentani is a historic neoclassical palace located on Piazza della Scala in central Milan, Italy.
  • B. Palazzo Baldassini
    Palazzo Baldassini is a Renaissance palace in Rome renowned for its elegant architectural design by Antonio da Sangallo the Younger.
  • C. Palazzo Beltrami
    Palazzo Beltrami is a historic 19th-century palace in central Milan, Italy, known for its prominent location facing Piazza della Scala and its elegant neoclassical architecture.
  • D. Palazzo Belgiojoso
    Palazzo Belgiojoso is an elegant Neoclassical palace in Milan, Italy, renowned for its refined architecture and historical significance.
  • E. Palazzo Baracchini
    Palazzo Baracchini is a historic government building in Rome that serves as the seat of Italy’s Ministry of Defence.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Palazzo Belenzani
Triple: [Via Belenzani, hasBuilding, Palazzo Belenzani]
Generated description
Palazzo Belenzani is a historic Renaissance palace in Trento, Italy, noted for its elegant façade and richly frescoed exterior.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Palazzo Belenzani
Target entity description: Palazzo Belenzani is a historic Renaissance palace in Trento, Italy, noted for its elegant façade and richly frescoed exterior.
  • A. Palazzo Brentani
    Palazzo Brentani is a historic neoclassical palace located on Piazza della Scala in central Milan, Italy.
  • B. Palazzo Baldassini
    Palazzo Baldassini is a Renaissance palace in Rome renowned for its elegant architectural design by Antonio da Sangallo the Younger.
  • C. Palazzo Beltrami
    Palazzo Beltrami is a historic 19th-century palace in central Milan, Italy, known for its prominent location facing Piazza della Scala and its elegant neoclassical architecture.
  • D. Palazzo Belgiojoso
    Palazzo Belgiojoso is an elegant Neoclassical palace in Milan, Italy, renowned for its refined architecture and historical significance.
  • E. Palazzo Baracchini
    Palazzo Baracchini is a historic government building in Rome that serves as the seat of Italy’s Ministry of Defence.
  • F. None of above. chosen

Provenance (5 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cc79508190954defbef0d82a64 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d121f7a61081908801cdc965f65c3a completed April 4, 2026, 2:36 p.m.
NEDg Description generation batch_69d1231adb4481908fac11cae099d0de completed April 4, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69d123fcc8f48190838abd08a4af0a63 completed April 4, 2026, 2:45 p.m.
Created at: March 30, 2026, 7:34 p.m.