Triple

T6379582
Position Surface form Disambiguated ID Type / Status
Subject Estepona E143546 entity
Predicate hasAttraction P105 FINISHED
Object Estepona Marina E143546 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: Estepona Marina | Statement: [Estepona, hasAttraction, Estepona Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estepona Marina
Context triple: [Estepona, hasAttraction, Estepona Marina]
  • A. Estepona chosen
    Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
  • B. 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.
  • C. Olhão
    Olhão is a coastal city in Portugal’s Algarve region, known for its fishing port, historic waterfront, and access to the Ria Formosa lagoon and nearby islands.
  • D. Playa de Valdevaqueros
    Playa de Valdevaqueros is a famous windswept beach near Tarifa in southern Spain, renowned for its excellent conditions for kitesurfing and windsurfing.
  • E. Playa del Rey
    Playa del Rey is a laid-back coastal neighborhood in Los Angeles known for its quiet beach, residential character, and proximity to tech hubs in Silicon Beach.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0685029488190911fb24c470b6f0d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62daf2f408190923d67bd0222d2bb completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.