Triple

T18668372
Position Surface form Disambiguated ID Type / Status
Subject Alcázar de San Juan railway station E456399 entity
Predicate connectsTo P845 FINISHED
Object Levante region 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: Levante region | Statement: [Alcázar de San Juan railway station, connectsTo, Levante region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levante region
Context triple: [Alcázar de San Juan railway station, connectsTo, Levante region]
  • A. Alicante region chosen
    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.
  • B. Levante
    Levante is a Spanish professional football club based in Valencia that competes in the country’s football league system.
  • 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. Levante
    Levante is a luxury midsize SUV model produced by the Italian automaker Maserati, known for its sporty performance and upscale design.
  • E. Costa del Azahar region
    The Costa del Azahar region is a Mediterranean coastal area in Spain’s Castellón province, known for its orange groves, sandy beaches, and seaside resort towns.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556af6bac8190a6615d44604d784d completed April 19, 2026, 10:26 p.m.
Created at: April 10, 2026, 11:48 a.m.