Triple

T3036399
Position Surface form Disambiguated ID Type / Status
Subject High Command of the Armed Forces E83020 entity
Predicate abbreviation P43 FINISHED
Object OKW E38766 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: OKW | Statement: [High Command of the Armed Forces, abbreviation, OKW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OKW
Context triple: [High Command of the Armed Forces, abbreviation, OKW]
  • A. OKW chosen
    OKW (Oberkommando der Wehrmacht) was the German Armed Forces High Command during Nazi Germany, overseeing the strategic direction and coordination of the Wehrmacht in World War II.
  • B. OKH
    OKH (Oberkommando des Heeres) was the German Army High Command responsible for directing land operations for Nazi Germany during much of World War II.
  • C. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • D. WKO
    WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • E. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2bb60c8190b1721f832f2581a1 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dec577d481909a659607c17983ce completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.