Triple

T18764209
Position Surface form Disambiguated ID Type / Status
Subject Crociera Aerea del Decennale E458851 entity
Predicate departureLocation P1521 FINISHED
Object Orbetello 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: Orbetello | Statement: [Crociera Aerea del Decennale, departureLocation, Orbetello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orbetello
Context triple: [Crociera Aerea del Decennale, departureLocation, Orbetello]
  • A. Orbetello chosen
    Orbetello is a coastal town and lagoon in Tuscany, central Italy, known historically as a seaplane base and military aviation hub.
  • B. Rosignano Marittimo
    Rosignano Marittimo is a coastal town and comune in Tuscany, central Italy, known for its seaside resorts and proximity to the Tyrrhenian Sea.
  • C. Marina di Massa
    Marina di Massa is a seaside town and popular tourist resort on the Tuscan coast of northwestern Italy, known for its beaches and proximity to the Apuan Alps.
  • D. Cervia
    Cervia is a coastal town and popular seaside resort on the Adriatic Sea in Italy’s Emilia-Romagna region, known for its historic salt pans and beaches.
  • E. Quarrata
    Quarrata is a Tuscan town in central Italy known for its furniture industry and proximity to the cities of Pistoia and Florence.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d82297c81909f720e2637cec737 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.