Triple

T998206
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Moretti E21542 entity
Predicate countryOfCitizenship P2 FINISHED
Object Italy E863 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: Italy | Statement: [Giuseppe Moretti, countryOfCitizenship, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Giuseppe Moretti, countryOfCitizenship, Italy]
  • A. Italy chosen
    Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
  • B. Italo
    Italo is a masculine Italian given name historically borne by notable figures in politics, aviation, literature, and the arts.
  • C. ITA
    ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
  • D. Tuscany
    Tuscany is a central Italian region renowned for its rolling landscapes, historic cities like Florence and Siena, and its pivotal role in art, culture, and the birth of the Renaissance.
  • E. France and Italy
    France and Italy are neighboring European countries that share a long Alpine border, rich cultural heritage, and significant historical, economic, and touristic ties.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4e2ad9c81908a0f488d3f261fc3 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4287830c819095ffc30fc03a7461 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:41 p.m.