Triple

T10541208
Position Surface form Disambiguated ID Type / Status
Subject Masaccio E248698 entity
Predicate placeOfBirth P1 FINISHED
Object San Giovanni Valdarno E792155 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: San Giovanni Valdarno | Statement: [Masaccio, placeOfBirth, San Giovanni Valdarno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Giovanni Valdarno
Context triple: [Masaccio, placeOfBirth, San Giovanni Valdarno]
  • A. San Giovanni Valdarno chosen
    San Giovanni Valdarno is a historic Tuscan town in central Italy, known as the birthplace of the Renaissance painter Masaccio and for its characteristic medieval urban layout.
  • B. Figline Valdarno
    Figline Valdarno is a historic town in Tuscany, Italy, known for its medieval heritage and as the birthplace of the Renaissance philosopher Marsilio Ficino.
  • C. Montemurlo
    Montemurlo is a municipality in the Tuscany region of central Italy, known for its industrial activity and proximity to the city of Prato.
  • D. Poggio San Lorenzo
    Poggio San Lorenzo is a small Italian municipality in the Lazio region, known for its rural setting and historical hilltop village character.
  • E. San Miniato
    San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:32 p.m.