Triple

T14634361
Position Surface form Disambiguated ID Type / Status
Subject Blasco E343562 entity
Predicate origin P410 FINISHED
Object Spain E3665 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: Spain | Statement: [Blasco, origin, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spain
Context triple: [Blasco, origin, Spain]
  • A. Spain chosen
    Spain is a southwestern European country on the Iberian Peninsula, historically a major global colonial power and now a constitutional monarchy and member of the European Union.
  • B. Spanyolit
    Spanyolit is a variant name for Judezmo (Ladino), the historical Judeo-Spanish language spoken by Sephardic Jewish communities, particularly in the Eastern Mediterranean and the Balkans.
  • C. Spain and Andorra
    Spain and Andorra are neighboring countries on the Iberian Peninsula in southwestern Europe, sharing a mountainous border in the Pyrenees.
  • D. Portugal and Spain
    Portugal and Spain are neighboring Iberian countries in southwestern Europe known for their rich maritime histories, distinct Romance languages, and influential cultural and imperial legacies.
  • E. Spain and France
    Spain and France are neighboring European countries on the Iberian Peninsula and across the Pyrenees, closely linked by extensive cultural, economic, and transport connections.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9167b888190abb8f301b0c7c55b completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:26 a.m.