Triple

T9437345
Position Surface form Disambiguated ID Type / Status
Subject Rivadavia Street E227544 entity
Predicate runsThrough P416 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: [Rivadavia Street, runsThrough, Caballito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caballito
Context triple: [Rivadavia Street, runsThrough, 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.