Triple

T858810
Position Surface form Disambiguated ID Type / Status
Subject Po River E18553 entity
Predicate hasTributary P415 FINISHED
Object Dora Riparia E73179 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: Dora Riparia | Statement: [Po River, hasTributary, Dora Riparia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Riparia
Context triple: [Po River, hasTributary, 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 Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • C. Dora Black
    Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
  • D. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • E. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4f740881909cb59a6c18a77af3 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8494840819091324bf603ff8d7c completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.