Triple

T1681804
Position Surface form Disambiguated ID Type / Status
Subject Boca Juniors E36353 entity
Predicate region P40 FINISHED
Object La Boca, Buenos Aires E37033 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: La Boca, Buenos Aires | Statement: [Boca Juniors, region, La Boca, Buenos Aires]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Boca, Buenos Aires
Context triple: [Boca Juniors, region, La Boca, Buenos Aires]
  • A. La Boca chosen
    La Boca is a colorful, working-class neighborhood in Buenos Aires famous for its vividly painted houses, tango culture, and the Boca Juniors football stadium.
  • B. Buenos Aires
    Buenos Aires is the capital and largest city of Argentina, known for its rich European-influenced culture, tango music and dance, and vibrant urban life.
  • C. Colonia Buenos Aires
    Colonia Buenos Aires is a neighborhood located within the Cuauhtémoc borough in central Mexico City.
  • D. La Plata
    La Plata is a municipality and town in Colombia known for its location in the western part of the Huila Department and its role as a regional agricultural and commercial center.
  • E. La Plata
    La Plata is the planned capital city of Argentina’s Buenos Aires Province, known for its distinctive diagonal street grid and cultural and educational institutions.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef06b043481909eb0195456f1f7fa completed March 9, 2026, 4:08 p.m.
Created at: March 4, 2026, 7:29 p.m.