Triple

T7019873
Position Surface form Disambiguated ID Type / Status
Subject Dora di Bardonecchia E162792 entity
Predicate mouth P407 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: [Dora di Bardonecchia, mouth, Dora Riparia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Riparia
Context triple: [Dora di Bardonecchia, mouth, 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
    Dora is a character in Jim Jarmusch’s film "Broken Flowers," known as one of Don Johnston’s former girlfriends whom he visits while searching for the mother of his alleged son.
  • D. Dora Luz
    Dora Luz was a Mexican singer and actress best known for her musical performances in classic Disney films of the 1940s.
  • E. Lucy
    Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7885104e881909be62c2eb12e0bcf completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:34 p.m.