Triple

T6699248
Position Surface form Disambiguated ID Type / Status
Subject Carybé E152834 entity
Predicate placeOfBirth P1 FINISHED
Object Lanús E434501 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: Lanús | Statement: [Carybé, placeOfBirth, Lanús]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanús
Context triple: [Carybé, placeOfBirth, Lanús]
  • A. Lanús chosen
    Lanús is a city in the Greater Buenos Aires metropolitan area of Argentina, known as an important industrial and residential center and as the home of the football club Club Atlético Lanús.
  • B. Morón
    Morón is a city in the western part of the Greater Buenos Aires metropolitan area in Argentina, known as an important residential and commercial hub.
  • C. Barracas
    Barracas is a traditional working-class neighborhood in Buenos Aires, Argentina, known for its historic architecture, industrial past, and strong local identity.
  • D. Tres de Febrero
    Tres de Febrero is a partido (administrative district) in the Greater Buenos Aires metropolitan area of Argentina, known for its dense urban character and proximity to the city of Buenos Aires.
  • E. San Nicolás de los Arroyos
    San Nicolás de los Arroyos is an industrial and port city in the Buenos Aires Province of Argentina, known for its manufacturing sector and strategic location on the Paraná River.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a7355081908a0acfa8d2bb4c09 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bfcb048190b682f4ec7e404b3e completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.