Triple

T21514597
Position Surface form Disambiguated ID Type / Status
Subject Oltrarno E530809 entity
Predicate municipality P852 FINISHED
Object Comune di Firenze NE NERFINISHED

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: [Oltrarno, municipality, Comune di Firenze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Firenze
Context triple: [Oltrarno, municipality, 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 (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea89b6e48190ac4ea139b895714f completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.