Triple

T22333327
Position Surface form Disambiguated ID Type / Status
Subject Ricky Rubio E552078 entity
Predicate placeOfBirth P1 FINISHED
Object El Masnou, Spain 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: El Masnou, Spain | Statement: [Ricky Rubio, placeOfBirth, El Masnou, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Masnou, Spain
Context triple: [Ricky Rubio, placeOfBirth, El Masnou, Spain]
  • A. El Masnou, Spain
    El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
  • B. Martorell, Spain
    Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
  • C. El Masnou chosen
    El Masnou is a coastal town and municipality in the Maresme comarca of Catalonia, Spain, known for its beaches and proximity to Barcelona.
  • D. Villaverde, Spain
    Villaverde, Spain is an industrial district in Madrid known for its major automotive manufacturing facilities.
  • E. Granollers, Spain
    Granollers, Spain is a town in the province of Barcelona, Catalonia, known as an industrial and commercial center near the Montmeló Circuit de Barcelona-Catalunya.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577cdcb08190a760e195c1051adb completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.