Triple

T9388828
Position Surface form Disambiguated ID Type / Status
Subject AM39 Exocet E225970 entity
Predicate operatorExample P179 FINISHED
Object Argentina E5383 NE FINISHED

How this triple was built (3 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: Argentina | Statement: [AM39 Exocet, operatorExample, Argentina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentina
Context triple: [AM39 Exocet, operatorExample, Argentina]
  • A. Argentina chosen
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • B. Argentina and Paraguay
    Argentina and Paraguay are neighboring South American countries that share extensive cultural, historical, and economic ties along their common border.
  • C. Argentina and Chile
    Argentina and Chile are neighboring South American countries that share a long Andean border, diverse climates and landscapes, and deep historical, cultural, and economic ties.
  • D. Argentina and Bolivia
    Argentina and Bolivia are neighboring South American countries that share a long Andean and lowland frontier, including sections defined by the Bermejo River.
  • E. Argen
    Argen is a river in southern Germany that flows through the Allgäu region before emptying into Lake Constance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatorExample
Context triple: [AM39 Exocet, operatorExample, Argentina]
  • A. operator chosen
    Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
  • B. operatorSymbol
    Indicates the symbolic notation used to represent an operator in an expression or formal system.
  • C. operatorBase
    Indicates that one entity serves as the primary or foundational operator for another entity or operation.
  • D. operatorVariant
    Indicates a relationship where one operator is an alternative or modified form of another, typically differing in implementation, configuration, or usage while serving a related function.
  • E. operatorPeriod
    Indicates the time span during which an operator is active, responsible, or in effect for a given operation or system.
  • F. None of above.

Provenance (4 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d6e5f081908102909cb4cbb649 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100f1182881909c3b11c22e911b61 completed April 4, 2026, 12:15 p.m.
PD Predicate disambiguation batch_69cca53bd6ec81909bf403ce304e5c08 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:45 p.m.