Triple

T14864365
Position Surface form Disambiguated ID Type / Status
Subject Citadella E349578 entity
Predicate hasNameInLanguage P15 FINISHED
Object Citadella@hu E349578 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: Citadella@hu | Statement: [Citadella, hasNameInLanguage, Citadella@hu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Citadella@hu
Context triple: [Citadella, hasNameInLanguage, Citadella@hu]
  • A. Citadella chosen
    Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
  • B. Cittadella Universitaria
    Cittadella Universitaria is a major academic and research campus complex of the University of Catania in Sicily, Italy.
  • C. Cittadella
    Cittadella is a medieval walled town in northeastern Italy renowned for its remarkably well-preserved circular fortifications and historic center.
  • D. Citadella fortress
    The Citadella fortress is a 19th-century military stronghold and prominent lookout point in Budapest, offering panoramic views over the city and the Danube River.
  • E. Castellar de n'Hug
    Castellar de n'Hug is a picturesque mountain village in Catalonia, Spain, known for its traditional stone architecture and proximity to the sources of the Llobregat River.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded574d0ec8190a6afed672ba6c2f9 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650e8aec8190acd4a9cb9cad2039 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.