Triple

T15177243
Position Surface form Disambiguated ID Type / Status
Subject Motril E362641 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Salobreña E555507 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: Salobreña | Statement: [Motril, hasNeighbouringMunicipality, Salobreña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salobreña
Context triple: [Motril, hasNeighbouringMunicipality, Salobreña]
  • A. Salobreña chosen
    Salobreña is a picturesque coastal town on Spain’s Costa Tropical, known for its whitewashed hillside houses and hilltop Moorish castle overlooking the Mediterranean Sea.
  • B. Antequera
    Antequera is a historic city in Andalusia, southern Spain, known for its well-preserved medieval architecture and nearby prehistoric dolmens, a UNESCO World Heritage Site.
  • C. Conil de la Frontera
    Conil de la Frontera is a traditional Andalusian coastal town in southern Spain known for its long sandy beaches, whitewashed houses, and relaxed seaside atmosphere.
  • D. Chiclana de la Frontera
    Chiclana de la Frontera is a coastal town in Andalusia, southern Spain, known for its beaches, wine production, and tourism.
  • E. Fuengirola
    Fuengirola is a popular coastal resort town on Spain’s Costa del Sol, known for its long sandy beaches, tourism infrastructure, and proximity to Málaga.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00663b4148190b647592eda315d1d completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ebe275c819094473d37cf33c7d0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 3:09 a.m.