Triple

T21173997
Position Surface form Disambiguated ID Type / Status
Subject Patria Boba E521759 entity
Predicate alsoKnownAs P39 FINISHED
Object La Patria Boba 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 Patria Boba | Statement: [Patria Boba, alsoKnownAs, La Patria Boba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Patria Boba
Context triple: [Patria Boba, alsoKnownAs, La Patria Boba]
  • A. Patria Boba chosen
    Patria Boba is the Colombian historical period (1810–1816) marked by political instability and internal conflicts among independence leaders following the initial break from Spanish rule.
  • B. La sopa boba
    La sopa boba is a Spanish television series best known for its comedic portrayal of a struggling restaurant and its eccentric staff and patrons.
  • C. La Pandilla
    La Pandilla is the popular nickname of Mexican football club C.F. Monterrey, one of Liga MX’s most prominent and successful teams.
  • D. La Papelotte
    La Papelotte is a farmhouse and former strongpoint on the Waterloo battlefield in Belgium, notable for its role in the 1815 Battle of Waterloo.
  • E. Maximum Bob
    Maximum Bob is a crime novel by Elmore Leonard that blends dark humor with a story about a hardline Florida judge entangled in quirky, dangerous situations.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72714d3f48190871c5e35c3887d7f completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.