Triple
T20988235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarusian theatre of operations |
E516947
|
entity |
| Predicate | sawWidespread |
P78624
|
FINISHED |
| Object | civilian casualties |
—
|
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: civilian casualties | Statement: [Belarusian theatre of operations, sawWidespread, civilian casualties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawWidespread Context triple: [Belarusian theatre of operations, sawWidespread, civilian casualties]
-
A.
widelyCoveredBy
Indicates that something (such as an event, topic, or issue) receives extensive attention or reporting from many media outlets or information sources.
-
B.
widerUsage
Indicates that one entity is used or applied more broadly, frequently, or in a greater variety of contexts than another.
-
C.
sawDiversificationOf
Indicates that the subject experienced or witnessed a process in which something became more varied, diverse, or differentiated over time.
-
D.
isWidelyPerformed
Indicates that an action or behavior is carried out by a large number of individuals or groups across many contexts or locations.
-
E.
observedNationwide
chosen
Indicates that an event, phenomenon, or condition has been observed across an entire nation rather than in a limited or local area.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe5208c8190b8b843b3778589d3 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:49 p.m.