Triple

T21500807
Position Surface form Disambiguated ID Type / Status
Subject manat E530468 entity
Predicate ISO4217Code P189 FINISHED
Object AZN 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: AZN | Statement: [manat, ISO4217Code, AZN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AZN
Context triple: [manat, ISO4217Code, AZN]
  • A. AZN chosen
    AZN is the ISO 4217 currency code for the Azerbaijani manat, the official currency of Azerbaijan.
  • B. AZN
    AZN is the IATA airport code for Andijan Airport, a regional air transport hub serving the city of Andijan in eastern Uzbekistan.
  • C. AZN
    AZN is the stock ticker symbol for AstraZeneca, a major global biopharmaceutical company known for developing prescription medicines across several therapeutic areas.
  • D. AZN
    AZN is a street racer and television personality best known for his appearances on the reality TV series "Street Outlaws."
  • E. AZU
    AZU is the ICAO airline designator for Azul Brazilian Airlines, a major low-cost carrier based in Brazil.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5be400819093e2b7e145254eab completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.