Triple

T22233035
Position Surface form Disambiguated ID Type / Status
Subject Port of Denia E549516 entity
Predicate connectsTo P845 FINISHED
Object Formentera 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: Formentera | Statement: [Port of Denia, connectsTo, Formentera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formentera
Context triple: [Port of Denia, connectsTo, 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. Maiorca
    Maiorca is a civil parish in the municipality of Figueira da Foz, located in the Coimbra District of central Portugal.
  • D. Mallorca
    Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
  • E. Corbera d'Ebre
    Corbera d'Ebre is a municipality in Catalonia, Spain, known for its preserved Spanish Civil War ruins and historical significance.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf4e0348190b755a9ac0bc96cdd completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.