Triple

T20084940
Position Surface form Disambiguated ID Type / Status
Subject Galeazzo Alessi E500100 entity
Predicate workLocation P7 FINISHED
Object Assisi NE NERFINISHED

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: Assisi | Statement: [Galeazzo Alessi, workLocation, Assisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assisi
Context triple: [Galeazzo Alessi, workLocation, Assisi]
  • A. Assisi chosen
    Assisi is an Italian hill town in Umbria renowned as the birthplace of St. Francis and a major center of Christian pilgrimage.
  • B. Todi
    Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
  • C. Città della Pieve
    Città della Pieve is a historic hilltop town in Umbria, central Italy, known for its medieval architecture and artworks by the Renaissance painter Perugino.
  • D. Cusano Mutri
    Cusano Mutri is a picturesque medieval hill town in southern Italy known for its historic architecture, natural surroundings in the Matese mountains, and traditional festivals.
  • E. Cusano Milanino
    Cusano Milanino is a small municipality in the Metropolitan City of Milan in northern Italy, known as one of the first planned garden cities in the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655a2d2c81908a6b8fd2f209a825 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.