Triple

T2848033
Position Surface form Disambiguated ID Type / Status
Subject Austrian Chamber of Commerce E63026 entity
Predicate abbreviation P43 FINISHED
Object WKO
WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
E303284 NE FINISHED

How this triple was built (4 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: WKO | Statement: [Austrian Chamber of Commerce, abbreviation, WKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WKO
Context triple: [Austrian Chamber of Commerce, abbreviation, WKO]
  • A. 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.
  • B. OKW
    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.
  • C. 9W
    9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
  • D. 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.
  • E. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WKO
Triple: [Austrian Chamber of Commerce, abbreviation, WKO]
Generated description
WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WKO
Target entity description: WKO is the Austrian Federal Economic Chamber, the main representative body of Austria’s businesses and employers.
  • A. 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.
  • B. OKW
    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.
  • C. 9W
    9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
  • D. 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.
  • E. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • F. None of above. chosen

Provenance (5 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf403698819084fb4ace5839aa05 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8dbdff88190b6c46cfd6ef54bb8 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe9ac2e94819095513eab63b60dc4 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b002c3187481909c0e352d5902a468 completed March 10, 2026, 11:38 a.m.
Created at: March 6, 2026, 10:02 p.m.