Triple

T16085241
Position Surface form Disambiguated ID Type / Status
Subject Medici apartments E390211 entity
Predicate governedBy P46 FINISHED
Object Comune di Firenze E390212 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: Comune di Firenze | Statement: [Medici apartments, governedBy, Comune di Firenze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Firenze
Context triple: [Medici apartments, governedBy, Comune di Firenze]
  • A. Comune di Firenze chosen
    Comune di Firenze is the municipal government of the city of Florence, responsible for its local administration, public services, and cultural heritage.
  • B. Metropolitan City of Florence
    The Metropolitan City of Florence is an Italian administrative area in the Tuscany region that encompasses the city of Florence and its surrounding municipalities, coordinating regional governance, infrastructure, and services.
  • C. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • D. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • E. Comune di San Gimignano
    Comune di San Gimignano is the municipal government responsible for administering the historic Tuscan town of San Gimignano in Italy.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844e836081909b64d5f8c970f828 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb934b448190a486401ac6c01065 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.