Triple

T5879522
Position Surface form Disambiguated ID Type / Status
Subject Palma Nova E130708 entity
Predicate locatedNear P294 FINISHED
Object Magaluf E130707 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: Magaluf | Statement: [Palma Nova, locatedNear, Magaluf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magaluf
Context triple: [Palma Nova, locatedNear, Magaluf]
  • A. Magaluf chosen
    Magaluf is a popular resort town on the southwest coast of Mallorca, Spain, known for its sandy beaches and vibrant nightlife.
  • B. Cala d'Or
    Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
  • C. Puerto del Carmen
    Puerto del Carmen is a major seaside tourist resort town on the Spanish island of Lanzarote in the Canary Islands, known for its beaches, nightlife, and holiday accommodations.
  • D. Benidorm
    Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
  • E. Saint-Tropez
    Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03633f0d88190b0ecf595cb28b783 completed March 22, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff29200819080c7d9269ad80c53 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:57 p.m.