Triple

T15570287
Position Surface form Disambiguated ID Type / Status
Subject Vagos E374220 entity
Predicate hasParish P35 FINISHED
Object Sosa E187228 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: Sosa | Statement: [Vagos, hasParish, Sosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sosa
Context triple: [Vagos, hasParish, Sosa]
  • A. Sosa chosen
    Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
  • B. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • C. Sosa Keef
    Sosa Keef is the nickname of Chief Keef, an influential Chicago drill rapper known for pioneering the genre’s mainstream rise in the early 2010s.
  • D. Montañez Ortiz
    Montañez Ortiz is the surname of Rafael Montañez Ortiz, a pioneering American artist and educator known for his contributions to destruction art and the founding of El Museo del Barrio in New York City.
  • E. Crespo
    Crespo is a Spanish-origin surname borne by various notable individuals, including the Argentine footballer Hernán Crespo.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c231e0819083d6032eb21114b2 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:10 a.m.