Triple
T6258957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Caucasus |
E140245
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object | Fall Blau |
E20942
|
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: Fall Blau | Statement: [Battle of the Caucasus, codename, Fall Blau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Blau Context triple: [Battle of the Caucasus, codename, Fall Blau]
-
A.
Fall Blau
chosen
Fall Blau was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at capturing the oil fields of the Caucasus and advancing toward Stalingrad during World War II.
-
B.
the Fall
The Fall is the biblical event in which the first humans disobeyed God, bringing sin and suffering into the world and altering the relationship between humanity and the divine.
-
C.
Fall Weiss
Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
-
D.
“Fall”
“Fall” is a globally popular Afrobeats hit by Nigerian singer Davido, known for its catchy melody and massive international streaming success.
-
E.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24444b85c8190adf09c473b42ea9b |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:24 p.m.