Triple

T792441
Position Surface form Disambiguated ID Type / Status
Subject Raphael E16943 entity
Predicate birthPlace P1 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: [Raphael, birthPlace, Urbino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urbino
Context triple: [Raphael, birthPlace, 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. 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.
  • D. Viterbo
    Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
  • E. Ferrara
    Ferrara is a historic city in Italy’s Emilia-Romagna region, renowned for its well-preserved Renaissance architecture and rich Jewish cultural heritage.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a798c7608190b9c79c52a1fe0859 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5371c2c8190861a5cbf9d089e4f completed March 8, 2026, 2:55 a.m.
Created at: March 1, 2026, 7:38 p.m.