Triple

T12525391
Position Surface form Disambiguated ID Type / Status
Subject AKX E299423 entity
Predicate countryCode P208 FINISHED
Object KZ E50522 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: KZ | Statement: [AKX, countryCode, KZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KZ
Context triple: [AKX, countryCode, KZ]
  • A. KZ chosen
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • B. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • C. KAZ
    KAZ is the three-letter ISO 3166-1 alpha-3 country code assigned to Kazakhstan for international standardization and identification.
  • D. 3KZ
    3KZ was an Australian radio station based in Melbourne, known for its popular sports and entertainment broadcasts in the mid-20th century.
  • E. QZ
    QZ is the IATA airline designator used for AirAsia Indonesia, a low-cost carrier based in Indonesia.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.