Triple

T21422103
Position Surface form Disambiguated ID Type / Status
Subject Po river basin E528460 entity
Predicate majorTributary P415 FINISHED
Object Dora Riparia 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: Dora Riparia | Statement: [Po river basin, majorTributary, Dora Riparia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Riparia
Context triple: [Po river basin, majorTributary, Dora Riparia]
  • A. Dora Riparia chosen
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • B. Dora
    Dora is the given name of Dora de Houghton Carrington, an English painter and decorative artist associated with the Bloomsbury Group.
  • C. Dora
    Dora is a central character in the Italian film "Life Is Beautiful," portrayed as a loving and courageous mother whose devotion to her family anchors the story’s emotional core.
  • D. Dora
    Dora is a feminine given name, often used in English-speaking countries and sometimes as a short form of names like Dorothy or Theodora.
  • E. Dora
    Dora is a strategic board game that served as the inspiration for the classic negotiation and alliance-building game Diplomacy.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2d17f5081908f0185011eae3160 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:48 p.m.