Triple

T8376543
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires Underground Line A E197590 entity
Predicate servesNeighborhood P82 FINISHED
Object Caballito E716623 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: Caballito | Statement: [Buenos Aires Underground Line A, servesNeighborhood, Caballito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caballito
Context triple: [Buenos Aires Underground Line A, servesNeighborhood, Caballito]
  • A. Caballito chosen
    Caballito is a traditional middle-class residential neighborhood in central Buenos Aires, Argentina, known for its historic architecture, parks, and role as a key urban hub.
  • B. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • C. Carballo
    Carballo is a municipality in the province of A Coruña in Galicia, northwestern Spain, known for its proximity to the Atlantic coast and its role as a local commercial and administrative center.
  • D. Carballo
    Carballo is a Spanish surname, likely a regional or phonetic variant of the name Carvajal.
  • E. Cavalli
    Cavalli is the stage name of Francesco Cavalli, a prominent 17th-century Italian composer known for his influential early operas in Venice.
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7f19ba08190a08cf5aea522c021 completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.