Triple
T25945540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutchbat |
E653829
|
entity |
| Predicate | commanderDuringSrebrenica |
P162610
|
FINISHED |
| Object | Thom Karremans |
—
|
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: Thom Karremans | Statement: [Dutchbat, commanderDuringSrebrenica, Thom Karremans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderDuringSrebrenica Context triple: [Dutchbat, commanderDuringSrebrenica, Thom Karremans]
-
A.
commanderOfPerpetrators
Indicates that one entity holds command authority over the individuals who carried out a particular act or offense.
-
B.
commanderOfTurkishForces
Indicates that one entity serves as the commanding officer of Turkish military forces associated with another entity.
-
C.
IraqiCommander
Indicates a relationship where an individual serves in the role of a military commander for Iraqi armed or security forces.
-
D.
AfghanCommander
Indicates that an entity serves in the role of a military commander associated with Afghanistan.
-
E.
commanderOfVictoriousSide
Indicates that one entity served as the commanding leader of the side that achieved victory in a conflict or competition relative to another entity.
- F. None of above. chosen
Provenance (4 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_69f62b9e5ba88190a3c0d46edec7afe7 |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f627ad6d4c81909796d39d78e414f9 |
completed | May 2, 2026, 4:34 p.m. |
Created at: April 22, 2026, 8:43 a.m.