Triple
T30938988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazi-occupied Belarus |
E788206
|
entity |
| Predicate | hasSignificantResistance |
P34254
|
FINISHED |
| Object | Soviet partisans |
—
|
LITERAL 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: Soviet partisans | Statement: [Nazi-occupied Belarus, hasSignificantResistance, Soviet partisans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantResistance Context triple: [Nazi-occupied Belarus, hasSignificantResistance, Soviet partisans]
-
A.
notableResistance
chosen
Indicates that an entity is recognized for having mounted a significant or distinguished opposition or defense against another entity or force.
-
B.
resistedUntil
Indicates that an entity continued to oppose or withstand another entity or force up to a specific point in time or event.
-
C.
isResistant
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
D.
resistedIn
Indicates that an entity actively opposed, withstood, or fought against something within a specific context, event, or location.
-
E.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 29, 2026, 8:52 p.m.