Triple
T4671332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Army |
E102968
|
entity |
| Predicate | operation |
P1688
|
FINISHED |
| Object | Case Blue |
E3029
|
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: Case Blue | Statement: [2nd Army, operation, Case Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Case Blue Context triple: [2nd Army, operation, Case Blue]
-
A.
Case Blue
chosen
Case Blue was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at seizing the oil-rich Caucasus and advancing toward Stalingrad during World War II.
-
B.
Case Yellow
Case Yellow was the codename for Nazi Germany’s 1940 military campaign that rapidly conquered France and the Low Countries during World War II.
-
C.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
D.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
-
E.
Double Blue
Double Blue is a popular nickname for the Toronto Argonauts of the Canadian Football League, referencing the team’s traditional double-shaded blue color scheme.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039538048190b4075daf47355cee |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.