Triple

T5879469
Position Surface form Disambiguated ID Type / Status
Subject Magaluf E130707 entity
Predicate hasBeach P1922 FINISHED
Object Magaluf Beach 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 Beach | Statement: [Magaluf, hasBeach, Magaluf Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magaluf Beach
Context triple: [Magaluf, hasBeach, Magaluf Beach]
  • 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. Malvarrosa Beach
    Malvarrosa Beach is a popular urban sandy beach on the Mediterranean coast, known as one of Valencia’s main seaside attractions for both locals and tourists.
  • C. Otres Beach
    Otres Beach is a laid-back coastal area near Sihanoukville in Cambodia, known for its long sandy shoreline, relaxed atmosphere, and beachfront bars and guesthouses.
  • D. Playa de la Francesa
    Playa de la Francesa is a tranquil, sandy beach on the small Canary Island of La Graciosa, known for its clear waters and views of nearby Lanzarote.
  • E. Playa de Palma
    Playa de Palma is a long, popular sandy beach and resort area near Palma de Mallorca on the Spanish island of Mallorca, known for its lively tourism, hotels, and seaside promenade.
  • 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_69c0b12d9e348190b4baf171ce448d5b completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.