Triple

T22510245
Position Surface form Disambiguated ID Type / Status
Subject Central Nacional de Informaciones E556499 entity
Predicate abbreviation P43 FINISHED
Object CNI NE NERFINISHED

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: CNI | Statement: [Central Nacional de Informaciones, abbreviation, CNI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNI
Context triple: [Central Nacional de Informaciones, abbreviation, CNI]
  • A. CNI
    CNI is the stock ticker symbol for Canadian National Railway, a major North American freight railway company listed on the New York Stock Exchange and Toronto Stock Exchange.
  • B. CNI
    CNI is Spain’s main intelligence and security agency responsible for gathering and analyzing information to protect national interests.
  • C. CNI chosen
    The CNI (Central Nacional de Informaciones) was Chile’s notorious intelligence and secret police agency under Augusto Pinochet, responsible for widespread political repression, surveillance, and human rights abuses.
  • D. CNI
    CNI (Container Network Interface) is a specification and set of libraries for configuring networking in Linux containers, widely used in cloud-native and Kubernetes environments.
  • E. CNI
    CNI is the FAA location identifier for Cherokee County Regional Airport in Georgia, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5faf6c8190ba0513be9ae7d128 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.