Triple

T20910147
Position Surface form Disambiguated ID Type / Status
Subject Porta Siberia E514916 entity
Predicate hasNameInLanguage P15 FINISHED
Object Porta Siberia (Italian) 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: Porta Siberia (Italian) | Statement: [Porta Siberia, hasNameInLanguage, Porta Siberia (Italian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porta Siberia (Italian)
Context triple: [Porta Siberia, hasNameInLanguage, Porta Siberia (Italian)]
  • A. Porta Siberia chosen
    Porta Siberia is a historic city gate in Genoa, Italy, serving as a notable architectural landmark within the Porto Antico (Old Port) area.
  • B. Porta Uzeda
    Porta Uzeda is a historic Baroque city gate in Catania, Italy, forming a monumental entrance between the old city center and the seafront.
  • C. Porta Sole
    Porta Sole is a historic city gate in Perugia, Italy, forming part of the ancient defensive walls and offering access to one of the city's highest and most panoramic points.
  • D. Porta Pescara
    Porta Pescara is a historic seaside city gate in Cefalù, Sicily, known for its picturesque archway opening directly onto the Mediterranean.
  • E. Porta Susa
    Porta Susa is a major railway and metro station in Turin, Italy, serving as an important hub for both local and high-speed train services.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec5d73c88190a48180a1eed88190 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.