Triple

T665608
Position Surface form Disambiguated ID Type / Status
Subject Rachele Mussolini E12853 entity
Predicate residence P75 FINISHED
Object Predappio E8064 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: Predappio | Statement: [Rachele Mussolini, residence, Predappio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Predappio
Context triple: [Rachele Mussolini, residence, Predappio]
  • A. Predappio chosen
    Predappio is a small town in Italy’s Emilia-Romagna region, best known as the birthplace of fascist dictator Benito Mussolini and a site of related historical tourism and controversy.
  • B. Tremezzo
    Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Grignano
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd4f4988190a0973ceb7329b4c9 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39abcbc819093797700dc32d25a completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.