Triple

T22594867
Position Surface form Disambiguated ID Type / Status
Subject Cala Llombards E574646 entity
Predicate nearTo P350 FINISHED
Object town of Santanyí 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: town of Santanyí | Statement: [Cala Llombards, nearTo, town of Santanyí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Santanyí
Context triple: [Cala Llombards, nearTo, town of Santanyí]
  • A. Sant Celoni
    Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
  • B. Cala Santanyí chosen
    Cala Santanyí is a picturesque sandy cove and popular swimming spot on the southeast coast of Mallorca, Spain, known for its clear turquoise waters and sheltered bay.
  • C. Deià
    Deià is a picturesque coastal village on the Spanish island of Mallorca, famed for its dramatic mountain-and-sea scenery and its long association with artists and writers.
  • D. Peñíscola
    Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
  • E. Banyoles
    Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16164d690819096f7c4efb6cedad9 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.