Triple

T23066530
Position Surface form Disambiguated ID Type / Status
Subject Gadertal E575056 entity
Predicate contains P35 FINISHED
Object La Villa 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: La Villa | Statement: [Gadertal, contains, La Villa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Villa
Context triple: [Gadertal, contains, La Villa]
  • A. La Villa
    La Villa is a historic neighborhood in Mexico City’s Gustavo A. Madero borough, best known as the site of the Basilica of Our Lady of Guadalupe, a major Catholic pilgrimage destination.
  • B. La Villa
    La Villa is a French drama film directed by Robert Guédiguian, known for its intimate portrayal of family tensions and social change in a small coastal village near Marseille.
  • C. La Villa chosen
    La Villa is a village in the Dolomites of northern Italy, known as a popular ski resort and gateway to the Sella Ronda circuit.
  • D. The Villa
    The Villa is the official residence and office complex of the President of Nigeria, located in Abuja near Aso Rock.
  • E. The Villa
    The Villa is a residential community in Dubai known for its Spanish-style luxury villas and family-friendly suburban environment.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a3e39481909cad356ad0bb3ee6 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.