Triple
T17039158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yugoslav Partisan uprising |
E413397
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Case White |
E888606
|
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 White | Statement: [Yugoslav Partisan uprising, hasPart, Case White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Case White Context triple: [Yugoslav Partisan uprising, hasPart, Case White]
-
A.
Case White
Case White was the German codename for the 1939 invasion of Poland that marked the beginning of World War II in Europe.
-
B.
Case White
chosen
Case White was a major World War II Axis offensive against Yugoslav Partisans in early 1943, culminating in the Battle of the Neretva.
-
C.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
D.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
E.
Branco
Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f5844c819097eade4a2b42ab91 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.