Triple

T21142668
Position Surface form Disambiguated ID Type / Status
Subject Gerlafingen E520970 entity
Predicate hasTwinTown P919 FINISHED
Object Cittadella 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: Cittadella | Statement: [Gerlafingen, hasTwinTown, Cittadella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cittadella
Context triple: [Gerlafingen, hasTwinTown, Cittadella]
  • A. Cittadella chosen
    Cittadella is a medieval walled town in northeastern Italy renowned for its remarkably well-preserved circular fortifications and historic center.
  • B. Citadella
    Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
  • C. Ciudadela
    Ciudadela is a populous urban locality in the Tres de Febrero Partido of Greater Buenos Aires, Argentina, known for its residential neighborhoods and commercial activity.
  • D. Reduta
    Reduta is a historic theatre building known as a cultural landmark and performance venue.
  • E. Bastione di Riva
    Bastione di Riva is a historic hilltop fortress overlooking Riva del Garda on Lake Garda in northern Italy, known for its panoramic views and well-preserved medieval architecture.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fad02c8190a8e9fb82f0491642 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.