Triple

T9713341
Position Surface form Disambiguated ID Type / Status
Subject Red Wings Airlines E235073 entity
Predicate airlineCodeIATA P418 FINISHED
Object WZ E235073 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: WZ | Statement: [Red Wings Airlines, airlineCodeIATA, WZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WZ
Context triple: [Red Wings Airlines, airlineCodeIATA, WZ]
  • A. WZ chosen
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • B. ZW
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • C. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • D. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • E. WZO
    WZO is the commonly used abbreviation for the World Zionist Organization, a global body founded to promote Jewish self-determination and support for the State of Israel.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e087a1c8190aa62c910f88e8516 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8c26dc8190a6fa21bde27ba6fa completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.