Triple

T22358862
Position Surface form Disambiguated ID Type / Status
Subject Cúber reservoir E552725 entity
Predicate near P350 FINISHED
Object Sóller 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: Sóller | Statement: [Cúber reservoir, near, Sóller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sóller
Context triple: [Cúber reservoir, near, Sóller]
  • A. Sóller chosen
    Sóller is a picturesque town in northwestern Mallorca, Spain, known for its historic tramway, citrus groves, and scenic setting in the Serra de Tramuntana mountains.
  • B. Javea
    Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
  • C. Alcúdia
    Alcúdia is a historic coastal town in northern Mallorca, Spain, known for its well-preserved medieval walls, charming old town, and nearby sandy beaches.
  • D. Cala Deià
    Cala Deià is a small, picturesque rocky cove on the northwest coast of Mallorca, Spain, known for its clear turquoise water, dramatic cliffs, and seaside restaurants.
  • E. Calvià
    Calvià is a coastal municipality on the Spanish island of Mallorca, known for its popular tourist resorts and Mediterranean beaches.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d2b9fc81909e09a1c48664b895 completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:44 p.m.