Triple

T4284923
Position Surface form Disambiguated ID Type / Status
Subject Piero della Francesca E97244 entity
Predicate placeOfDeath P21 FINISHED
Object Sansepolcro E428019 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: Sansepolcro | Statement: [Piero della Francesca, placeOfDeath, Sansepolcro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sansepolcro
Context triple: [Piero della Francesca, placeOfDeath, Sansepolcro]
  • A. Sansepolcro chosen
    Sansepolcro is a historic Tuscan town in central Italy, renowned as the birthplace of Renaissance painter and mathematician Piero della Francesca.
  • B. Montefalco
    Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
  • C. Fermignano
    Fermignano is a small town in Italy’s Marche region, best known as the birthplace of Renaissance architect and painter Donato Bramante.
  • D. Gualdo Tadino
    Gualdo Tadino is a historic town in the Umbria region of central Italy, known for its medieval architecture and traditional ceramics.
  • E. 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.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505bff588190919a4ef547f607c2 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d06ccbf081908bc23b5f194b9587 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:07 p.m.