Triple

T23066318
Position Surface form Disambiguated ID Type / Status
Subject Badia E575051 entity
Predicate hasPart P35 FINISHED
Object San Leonardo 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: San Leonardo | Statement: [Badia, hasPart, San Leonardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Leonardo
Context triple: [Badia, hasPart, San Leonardo]
  • A. San Leonardo
    San Leonardo is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
  • B. San Leonardo
    San Leonardo is a municipality in the province of Soria, Castile and León, Spain, known for its location in the Pinares (pine forest) region and its later renaming to San Leonardo de Yagüe.
  • C. San Leonardo chosen
    San Leonardo is a locality in Italy known historically for its proximity to the Moro River and its role in World War II military operations.
  • D. San Giorgio
    San Giorgio, known in English as Saint George, is a Christian martyr and legendary dragon-slaying soldier venerated as a patron saint in many regions and professions.
  • E. Monserrato
    Monserrato is a town and municipality on the island of Sardinia in Italy, functioning as a suburban area of the city of Cagliari.
  • 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.