Triple

T2278643
Position Surface form Disambiguated ID Type / Status
Subject Mehmet Ali Ağca E51229 entity
Predicate countryOfImprisonment P36542 FINISHED
Object Italy E863 NE FINISHED

How this triple was built (3 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: [Mehmet Ali Ağca, countryOfImprisonment, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italy
Context triple: [Mehmet Ali Ağca, countryOfImprisonment, 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. Senigallia
    Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryOfImprisonment
Context triple: [Mehmet Ali Ağca, countryOfImprisonment, Italy]
  • A. countryOfConviction
    Indicates the country in which a person or entity was legally convicted of an offense.
  • B. wasImprisonedIn
    Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
  • C. placeOfConviction
    Indicates the location where a person was formally convicted of a crime or offense.
  • D. countryPrisonSystem
    Indicates a relationship where a country has, administers, or is associated with a particular prison system.
  • E. placeOfDetention
    Indicates the location or facility where an entity is or was held in detention.
  • 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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc217b6648190be77d2176d322efd completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71b811748190b985972a74c0355d completed March 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abbdb9aa3c819088d0316c5269a1c2 completed March 7, 2026, 5:55 a.m.
PDg Predicate description generation batch_69abbe4252688190944491a450383450 completed March 7, 2026, 5:57 a.m.
Created at: March 4, 2026, 7:48 p.m.