Triple

T9706594
Position Surface form Disambiguated ID Type / Status
Subject Comuna 4 E234913 entity
Predicate contains P35 FINISHED
Object Barracas E238568 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: Barracas | Statement: [Comuna 4, contains, Barracas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barracas
Context triple: [Comuna 4, contains, Barracas]
  • A. Barracas chosen
    Barracas is a traditional working-class neighborhood in Buenos Aires, Argentina, known for its historic architecture, industrial past, and strong local identity.
  • B. Lanús
    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.
  • C. 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.
  • D. 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.
  • E. Cerro Porteño
    Cerro Porteño is one of Paraguay’s most popular and successful football clubs, best known for its intense rivalry with Club Olimpia in the Asunción derby.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da4c53c81908ba4bfe4d9ca8814 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc3dd210819094403fd21f3c388d completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:19 p.m.