Triple

T9564359
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo de’ Medici, Duke of Urbino E230752 entity
Predicate associatedWith P37 FINISHED
Object Urbino E141803 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: Urbino | Statement: [Lorenzo de’ Medici, Duke of Urbino, associatedWith, Urbino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urbino
Context triple: [Lorenzo de’ Medici, Duke of Urbino, associatedWith, Urbino]
  • A. Urbino chosen
    Urbino is a historic hill town in Italy’s Marche region, renowned as a Renaissance cultural center and the birthplace of Raphael.
  • B. Perugia
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • C. Pesaro e Urbino
    Pesaro e Urbino is a province in Italy’s Marche region, known for its Renaissance heritage, Adriatic coastline, and historic cities such as Pesaro and Urbino.
  • D. Città di Castello
    Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
  • E. Umbertide
    Umbertide is a historic town in central Italy’s Umbria region, known for its medieval architecture and scenic position along the Tiber River.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9968b8608190b3078fe5764f0a69 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d28194f6e88190932efe607088394a completed April 5, 2026, 3:36 p.m.
Created at: March 30, 2026, 8:04 p.m.