Triple

T14085168
Position Surface form Disambiguated ID Type / Status
Subject Fortezza Nuova E338973 entity
Predicate governingBody P46 FINISHED
Object Comune di Livorno E1076365 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 Livorno | Statement: [Fortezza Nuova, governingBody, Comune di Livorno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Livorno
Context triple: [Fortezza Nuova, governingBody, Comune di Livorno]
  • A. Comune di Livorno chosen
    Comune di Livorno is the municipal government of the Italian port city of Livorno in Tuscany, responsible for local administration, services, and cultural heritage.
  • B. Comune di Pisa
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • C. Comune di Firenze
    Comune di Firenze is the municipal government of the city of Florence, responsible for its local administration, public services, and cultural heritage.
  • D. Comune di Loreto
    Comune di Loreto is the municipal government authority responsible for administering the town of Loreto in Italy.
  • E. Comune di Rapallo
    The Comune di Rapallo is the municipal government responsible for administering the coastal Italian town of Rapallo in the Liguria region.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.