Triple

T6615896
Position Surface form Disambiguated ID Type / Status
Subject Parco Regionale dei Castelli Romani E149349 entity
Predicate contains P35 FINISHED
Object Marino E599827 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: Marino | Statement: [Parco Regionale dei Castelli Romani, contains, Marino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marino
Context triple: [Parco Regionale dei Castelli Romani, contains, Marino]
  • A. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • B. Marino chosen
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • C. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • D. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af57fd748190bb64f1965bab319f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e443df8c8190b52ecac5a7e9fb09 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:57 p.m.