Triple

T12796252
Position Surface form Disambiguated ID Type / Status
Subject Italian heavy cruiser Zara E305895 entity
Predicate sisterShip P3142 FINISHED
Object Fiume E225516 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: Fiume | Statement: [Italian heavy cruiser Zara, sisterShip, Fiume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiume
Context triple: [Italian heavy cruiser Zara, sisterShip, Fiume]
  • A. Fiume chosen
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • B. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. 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.
  • D. Trenta
    Trenta is a small alpine valley settlement in northwestern Slovenia, known as the scenic source area of the Soča (Isonzo) River within Triglav National Park.
  • E. Lega River
    The Lega River is a watercourse in northeastern Poland that flows through the town of Olecko and forms part of the region’s interconnected lakes and river system.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5427be88190956c616b832d9841 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:30 p.m.