Triple

T15282161
Position Surface form Disambiguated ID Type / Status
Subject flag of the Balearic Islands E365294 entity
Predicate usedIn P98 FINISHED
Object Ibiza E23828 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 | Statement: [flag of the Balearic Islands, usedIn, Ibiza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibiza
Context triple: [flag of the Balearic Islands, usedIn, Ibiza]
  • A. Mallorca
    Mallorca is the largest of Spain’s Balearic Islands, renowned for its Mediterranean beaches, rugged limestone mountains, and historic towns such as Palma.
  • B. Formentera
    Formentera is a small Balearic Island in the Mediterranean Sea, renowned for its pristine white-sand beaches, crystal-clear waters, and laid-back atmosphere.
  • C. Ibiza, Spain chosen
    Ibiza, Spain is a Mediterranean island renowned for its vibrant nightlife, electronic music scene, and picturesque beaches.
  • D. Minorca
    Minorca is one of Spain’s Balearic Islands in the Mediterranean Sea, known for its natural harbors, beaches, and historical strategic importance.
  • E. Javea
    Javea is a coastal town on Spain’s Costa Blanca known for its Mediterranean beaches, historic old town, and popular holiday tourism.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b39b6f88190ac9d6532e99fda31 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:15 a.m.