Triple

T13633880
Position Surface form Disambiguated ID Type / Status
Subject Sebastián Blanco E325795 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: [Sebastián Blanco, placeOfBirth, Lanús]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lanús
Context triple: [Sebastián Blanco, 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. Vicente López
    Vicente López is a suburban partido (district) in the northern Greater Buenos Aires area of Argentina, known for its residential neighborhoods and riverside parks along the Río de la Plata.
  • D. Barracas
    Barracas is a traditional working-class neighborhood in Buenos Aires, Argentina, known for its historic architecture, industrial past, and strong local identity.
  • E. Morón city
    Morón city is an urban center in central Cuba known historically for its sugar industry and as a gateway to nearby northern cays and beach resorts.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:51 p.m.