Triple

T23021640
Position Surface form Disambiguated ID Type / Status
Subject Ponte alla Carraia E573181 entity
Predicate crosses P416 FINISHED
Object Arno 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: Arno | Statement: [Ponte alla Carraia, crosses, Arno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arno
Context triple: [Ponte alla Carraia, crosses, Arno]
  • A. Arno
    Arno is a loan shark and the main antagonist in the film "Uncut Gems," serving as Howard Ratner's menacing creditor and cousin.
  • B. Arno chosen
    The Arno is a major river in central Italy that flows through cities such as Florence and Pisa before emptying into the Ligurian Sea.
  • C. Arno
    Arno is a settlement located on Arno Atoll in the Marshall Islands, known for its traditional Pacific island community and lagoon environment.
  • D. Arno of Salzburg
    Arno of Salzburg was an influential 8th–9th century archbishop and missionary who played a key role in the Christianization and ecclesiastical organization of Bavaria and neighboring regions under Charlemagne.
  • E. Karle
    Karle is a surname most notably associated with Jerome Karle, the American physical chemist and Nobel Prize laureate.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e9208081908fdbb8e21cacedde completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.