Triple

T5477436
Position Surface form Disambiguated ID Type / Status
Subject Es Vedrà E123390 entity
Predicate locatedIn P40 FINISHED
Object Balearic Islands E26867 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: Balearic Islands | Statement: [Es Vedrà, locatedIn, Balearic Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balearic Islands
Context triple: [Es Vedrà, locatedIn, Balearic Islands]
  • 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. Minorca
    Minorca is one of Spain’s Balearic Islands in the Mediterranean Sea, known for its natural harbors, beaches, and historical strategic importance.
  • E. 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.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd92460f008190bf9d64ddd9c507a7 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9f5abeec819099df80ccf60cc693 completed March 22, 2026, 7:50 a.m.
Created at: March 20, 2026, 2:09 p.m.