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.