Triple

T5770130
Position Surface form Disambiguated ID Type / Status
Subject Ibiza Airport E127311 entity
Predicate serves P98 FINISHED
Object Formentera E129969 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: Formentera | Statement: [Ibiza Airport, serves, Formentera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formentera
Context triple: [Ibiza Airport, serves, Formentera]
  • A. Formentera chosen
    Formentera is a small Balearic Island in the Mediterranean Sea, renowned for its pristine white-sand beaches, crystal-clear waters, and laid-back atmosphere.
  • B. Minorca
    Minorca is one of Spain’s Balearic Islands in the Mediterranean Sea, known for its natural harbors, beaches, and historical strategic importance.
  • C. Mallorca
    Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
  • D. Corbera d'Ebre
    Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
  • E. Balearic Islands
    The Balearic Islands are a Mediterranean archipelago and popular Spanish tourist destination known for islands such as Mallorca, Menorca, Ibiza, and Formentera.
  • 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_69c16e75b76c8190881ce6ec2d093925 completed March 23, 2026, 4:46 p.m.
Created at: March 22, 2026, 3:50 p.m.