Triple

T22030101
Position Surface form Disambiguated ID Type / Status
Subject Ibiza Airport E544061 entity
Predicate locatedNear P294 FINISHED
Object Ibiza Town 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: Ibiza Town | Statement: [Ibiza Airport, locatedNear, Ibiza Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibiza Town
Context triple: [Ibiza Airport, locatedNear, Ibiza Town]
  • A. Ibiza (Eivissa) old town chosen
    Ibiza (Eivissa) old town is a historic fortified quarter on the island of Ibiza, renowned for its well-preserved medieval architecture, cobbled streets, and commanding views over the Mediterranean Sea.
  • 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. Barrio de Ibiza
    Barrio de Ibiza is a residential neighborhood in Madrid known for its proximity to El Retiro Park and its mix of traditional shops, bars, and local services.
  • D. Javea
    Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
  • E. Benidorm
    Benidorm is a major Spanish Mediterranean resort city famous for its skyscraper-lined beaches, vibrant nightlife, and mass tourism.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ed0cb08190aead0838cc62934c completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.