Triple
T25945562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchbat |
E653829
|
entity |
| Predicate | associatedEthnicGroupOfCivilians |
P12220
|
FINISHED |
| Object | Bosniak Muslims |
—
|
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: Bosniak Muslims | Statement: [Dutchbat, associatedEthnicGroupOfCivilians, Bosniak Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedEthnicGroupOfCivilians Context triple: [Dutchbat, associatedEthnicGroupOfCivilians, Bosniak Muslims]
-
A.
affectedEthnicGroup
Indicates that a particular ethnic group is impacted or influenced by an event, condition, policy, or action.
-
B.
nearEthnicGroup
Indicates that one entity is located geographically close to an ethnic group.
-
C.
ethnicGroupHelped
Indicates that one ethnic group provided assistance or support to another entity or group.
-
D.
involvedEthnicGroup
chosen
Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
-
E.
containedEthnicGroup
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: April 22, 2026, 8:43 a.m.