Triple

T18383626
Position Surface form Disambiguated ID Type / Status
Subject Seligenstadt E446520 entity
Predicate twinTown P1072 FINISHED
Object Pietrasanta 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: Pietrasanta | Statement: [Seligenstadt, twinTown, Pietrasanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pietrasanta
Context triple: [Seligenstadt, twinTown, Pietrasanta]
  • A. Pietrasanta
    Pietrasanta is an Italian surname of likely toponymic origin, associated with individuals such as Angela Maria Pietrasanta.
  • B. Pietrasanta chosen
    Pietrasanta is a historic Tuscan town in Italy renowned for its marble workshops, sculpture studios, and vibrant community of international artists.
  • C. Santoña
    Santoña is a coastal town in the autonomous community of Cantabria in northern Spain, historically known for its fishing industry and maritime tradition.
  • D. Balmaseda
    Balmaseda is a historic town in northern Spain’s Basque Country, known as the first officially chartered town in the province of Biscay and noted for its medieval bridge and old quarter.
  • E. Denia
    Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179da1048190944398e229e7a4c1 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.