Triple

T9841749
Position Surface form Disambiguated ID Type / Status
Subject La Sucursal del Cielo E239242 entity
Predicate appliedTo P1129 FINISHED
Object city of Cali E48415 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: city of Cali | Statement: [La Sucursal del Cielo, appliedTo, city of Cali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Cali
Context triple: [La Sucursal del Cielo, appliedTo, city of Cali]
  • A. Cali chosen
    Cali is a major city in southwestern Colombia known as an important economic center and the country’s capital of salsa.
  • B. Bogotá and Medellín
    Bogotá and Medellín are Colombia’s two largest and most important cities, serving as major centers of politics, culture, and commerce in the country.
  • C. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • D. Medellín
    Medellín is Colombia’s second-largest city, known for its mountainous setting, innovative urban development, and vibrant cultural life.
  • E. Aburrá Metropolitan Area
    The Aburrá Metropolitan Area is a major urban and industrial agglomeration in Antioquia, Colombia, centered on the city of Medellín and encompassing several surrounding municipalities in the Aburrá Valley.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34e3420819084bb31170e643cd0 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead49b14819086a9bbd256f298a9 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:33 p.m.