Triple

T21222463
Position Surface form Disambiguated ID Type / Status
Subject Pitiüses E523003 entity
Predicate partOf P40 FINISHED
Object Balearic archipelago 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: Balearic archipelago | Statement: [Pitiüses, partOf, Balearic archipelago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balearic archipelago
Context triple: [Pitiüses, partOf, Balearic archipelago]
  • A. Balearic Islands chosen
    The Balearic Islands are a Mediterranean archipelago and popular Spanish tourist destination known for islands such as Mallorca, Menorca, Ibiza, and Formentera.
  • B. Canary Islands
    The Canary Islands are a Spanish archipelago off the northwest coast of Africa, known for their volcanic landscapes, subtropical climate, and popularity as a tourist destination.
  • 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. Alborán Island
    Alborán Island is a small, sparsely inhabited Spanish island in the western Mediterranean Sea, strategically located between Spain and North Africa and known for its military presence and protected natural environment.
  • E. Maiorca
    Maiorca is a civil parish in the municipality of Figueira da Foz, located in the Coimbra District of central Portugal.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734a846d08190a5470298a3ddd0f8 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:43 p.m.