Triple

T5770187
Position Surface form Disambiguated ID Type / Status
Subject Port of Ibiza E127312 entity
Predicate serves P98 FINISHED
Object Ibiza town E522986 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: Ibiza town | Statement: [Port of Ibiza, serves, Ibiza town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibiza town
Context triple: [Port of Ibiza, serves, Ibiza town]
  • A. 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.
  • B. Ibiza, Spain
    Ibiza, Spain is a Mediterranean island renowned for its vibrant nightlife, electronic music scene, and picturesque beaches.
  • C. Palma de Mallorca
    Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
  • D. 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.
  • 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 (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_69c00834f6308190851b0abeddd8ed7e completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029aa877c8190bf6a944f18cca3b8 completed March 22, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfa363208190aac75f028fb7a630 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:50 p.m.