Triple

T22751100
Position Surface form Disambiguated ID Type / Status
Subject Moro River E562698 entity
Predicate hasNameInLanguage P15 FINISHED
Object Fiume Moro 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: Fiume Moro | Statement: [Moro River, hasNameInLanguage, Fiume Moro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiume Moro
Context triple: [Moro River, hasNameInLanguage, Fiume Moro]
  • A. Fiume Moro chosen
    Fiume Moro is the Italian name for the Moro River, a watercourse located in Italy.
  • B. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • D. Fiuminata
    Fiuminata is a small municipality in the Marche region of central Italy, known for its mountainous landscape and traditional rural character.
  • E. Riva River
    Riva River is a small river in the Beykoz district of Istanbul, Turkey, known for its scenic natural surroundings and recreational areas along its banks.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.