Triple

T5988094
Position Surface form Disambiguated ID Type / Status
Subject Eivissa E133277 entity
Predicate locatedNear P294 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: [Eivissa, locatedNear, Formentera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formentera
Context triple: [Eivissa, locatedNear, 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. Pla de Mallorca
    Pla de Mallorca is a central inland comarca (county) on the island of Mallorca in Spain, characterized by its rural landscapes, traditional villages, and agricultural economy.
  • 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_69c7941938a88190be049ad13c45f73f completed March 28, 2026, 8:40 a.m.
Created at: March 22, 2026, 4:04 p.m.