Triple

T8133429
Position Surface form Disambiguated ID Type / Status
Subject Rosso Fiorentino E189908 entity
Predicate workedAt P7 FINISHED
Object Volterra E143412 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: Volterra | Statement: [Rosso Fiorentino, workedAt, Volterra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volterra
Context triple: [Rosso Fiorentino, workedAt, Volterra]
  • A. Volterra chosen
    Volterra is an ancient hilltop town in Tuscany, Italy, renowned for its Etruscan origins, medieval architecture, and traditional alabaster craftsmanship.
  • B. Osimo
    Osimo is a historic town in Italy’s Marche region, known for its medieval architecture and its role as the signing site of the Treaty of Osimo between Italy and Yugoslavia.
  • C. del Vasto
    Del Vasto is an Italian surname historically associated with the noble family of Adelaide del Vasto, a prominent medieval countess and regent in Sicily.
  • D. Valledoria
    Valledoria is a coastal town and comune in northern Sardinia, Italy, known for its beaches along the Gulf of Asinara and its location near the mouth of the Coghinas River.
  • E. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43ba98c881909c4b4c9cd25ad063 completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9488f0bc8190a4fdf6d021f54e13 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.