Triple
T37165133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryansk forests |
E920773
|
entity |
| Predicate | occupyingForceDuringWorldWarII |
P71829
|
FINISHED |
| Object | Nazi Germany |
—
|
NE NERFINISHED |
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: Nazi Germany | Statement: [Bryansk forests, occupyingForceDuringWorldWarII, Nazi Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupyingForceDuringWorldWarII Context triple: [Bryansk forests, occupyingForceDuringWorldWarII, Nazi Germany]
-
A.
occupyingForces
chosen
Indicates that one group’s military forces are present in and exercising control over a territory that is not their own, typically without the full consent of the local sovereign authority.
-
B.
postWarOccupation
Indicates that one entity occupied, administered, or controlled another entity or territory in the period following a war.
-
C.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
-
D.
countryOccupied
Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
-
E.
enemyDuringWWII
Indicates that one entity was an enemy of the other during World War II.
- F. None of above.
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_69f76ea0429081908c711b55599eac3c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.