Triple

T11392599
Position Surface form Disambiguated ID Type / Status
Subject Comune di Predappio E269882 entity
Predicate hasPart P35 FINISHED
Object Fiumana E58794 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: Fiumana | Statement: [Comune di Predappio, hasPart, Fiumana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiumana
Context triple: [Comune di Predappio, hasPart, Fiumana]
  • A. Fiumana chosen
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • B. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • C. Fiumelatte
    Fiumelatte is a small Italian village on Lake Como known for its short, seasonally flowing “milk-colored” river, considered one of the shortest rivers in Italy.
  • D. 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.
  • E. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001796f48190822526f52e3f0337 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8cc338081908da977b5b7c6bef3 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:34 p.m.