Triple

T7319389
Position Surface form Disambiguated ID Type / Status
Subject Radom E168498 entity
Predicate hasTwinTown P919 FINISHED
Object Pietrasanta E429047 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: Pietrasanta | Statement: [Radom, hasTwinTown, Pietrasanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pietrasanta
Context triple: [Radom, hasTwinTown, 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. 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.
  • D. Denia
    Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
  • E. Peñíscola
    Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa78d8e08190a5658f2df7fbf667 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:02 p.m.