Triple

T14270964
Position Surface form Disambiguated ID Type / Status
Subject Levante UD E353780 entity
Predicate shortName P43 FINISHED
Object Levante E353780 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: Levante | Statement: [Levante UD, shortName, Levante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levante
Context triple: [Levante UD, shortName, Levante]
  • A. Levante chosen
    Levante is a Spanish professional football club based in Valencia that competes in the country’s football league system.
  • B. Levante
    Levante is a luxury midsize SUV model produced by the Italian automaker Maserati, known for its sporty performance and upscale design.
  • C. Levante
    Levante is a strong, warm easterly wind that blows across the Strait of Gibraltar and southern Spain, often bringing dry conditions and rough seas.
  • D. Costa Blanca
    Costa Blanca is a popular Mediterranean coastal region in Spain’s Alicante province, renowned for its sandy beaches, resort towns, and sunny climate.
  • E. Alicante region
    The Alicante region is a coastal area in southeastern Spain, known for its Mediterranean beaches, tourism, and role as part of the historical Kingdom of Valencia.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.