Triple

T5988093
Position Surface form Disambiguated ID Type / Status
Subject Eivissa E133277 entity
Predicate hasAirport P105 FINISHED
Object Ibiza Airport E127311 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 Airport | Statement: [Eivissa, hasAirport, Ibiza Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibiza Airport
Context triple: [Eivissa, hasAirport, Ibiza Airport]
  • A. Ibiza Airport chosen
    Ibiza Airport is the main international airport serving the Spanish island of Ibiza and nearby Formentera, handling seasonal tourist traffic and regular domestic flights.
  • B. Palma de Mallorca Airport
    Palma de Mallorca Airport is the main international airport serving the island of Mallorca in Spain’s Balearic Islands and is one of the busiest tourist airports in the Mediterranean.
  • C. Menorca Airport
    Menorca Airport is the main international airport serving the Spanish Balearic island of Menorca, handling domestic and European tourist flights.
  • D. La Palma Airport
    La Palma Airport is the main commercial airport serving the island of La Palma in Spain’s Canary Islands, handling domestic and limited international flights for residents and tourists.
  • E. Valencia Airport
    Valencia Airport is an international airport serving the city of Valencia and the surrounding region on Spain’s eastern Mediterranean coast.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc51d948190bacf4c40a73e91b2 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1250912b48190a10dfdcc9b5a93e2 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:04 p.m.