Triple

T5682938
Position Surface form Disambiguated ID Type / Status
Subject Trevi district E125240 entity
Predicate hasLandmark P105 FINISHED
Object Palazzo Poli E125243 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: Palazzo Poli | Statement: [Trevi district, hasLandmark, Palazzo Poli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palazzo Poli
Context triple: [Trevi district, hasLandmark, Palazzo Poli]
  • A. Palazzo Poli chosen
    Palazzo Poli is a historic Roman palace best known as the grand architectural backdrop to the Trevi Fountain.
  • B. Palazzo Belgiojoso
    Palazzo Belgiojoso is an elegant Neoclassical palace in Milan, Italy, renowned for its refined architecture and historical significance.
  • C. Palazzo Aedes
    Palazzo Aedes is a notable historic building in Trieste, Italy, recognized for its distinctive architecture along the city’s central canal area.
  • D. Palazzo Moriggia
    Palazzo Moriggia is an 18th-century neoclassical palace in Milan, Italy, now best known as the home of the Museo del Risorgimento.
  • E. Palazzo Greppi
    Palazzo Greppi is an 18th-century neoclassical palace in Milan, Italy, renowned for its elegant architecture and historical significance.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023b780248190a912d2dddbd0aa17 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dcb28888190affb0982060d5ea8 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:44 p.m.