Triple

T9955041
Position Surface form Disambiguated ID Type / Status
Subject Club Aurora E195425 entity
Predicate basedIn P40 FINISHED
Object Cochabamba Department E153264 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: Cochabamba Department | Statement: [Club Aurora, basedIn, Cochabamba Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cochabamba Department
Context triple: [Club Aurora, basedIn, Cochabamba Department]
  • A. Cochabamba Department chosen
    Cochabamba Department is a central Bolivian administrative region known for its fertile valleys, temperate climate, and the city of Cochabamba as its capital.
  • B. La Paz Department
    La Paz Department is an administrative region in central El Salvador that includes part of the country’s Pacific coastline and hosts its main international airport.
  • C. La Paz Department
    La Paz Department is a highland administrative region in western Bolivia that includes the city of La Paz and encompasses part of the Lake Titicaca basin in the Andes.
  • D. Tarija Department
    Tarija Department is an administrative region in southern Bolivia known for its wine production, mild climate, and the city of Tarija as its capital.
  • E. El Cuy Department
    El Cuy Department is an administrative subdivision in the north-central region of Río Negro Province in Argentina, known for its sparsely populated rural landscapes and livestock-based economy.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6527343048190b3bb13b33c32fbf7 completed April 8, 2026, 1:04 p.m.
Created at: March 30, 2026, 8:46 p.m.