Triple
T27647763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beisfjord camp |
E696755
|
entity |
| Predicate | hasLanguageOfVictims |
P36742
|
FINISHED |
| Object | Serbian |
—
|
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: Serbian | Statement: [Beisfjord camp, hasLanguageOfVictims, Serbian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfVictims Context triple: [Beisfjord camp, hasLanguageOfVictims, Serbian]
-
A.
languageOfVictims
chosen
Indicates the language or languages spoken or used by the victims involved in an event or situation.
-
B.
hasTypeOfVictims
Indicates that an entity is associated with victims of a specified type or category.
-
C.
hasVictims
Indicates that an entity has one or more individuals who have been harmed, injured, or adversely affected by it.
-
D.
belligerentSideOfVictims
Indicates that the referenced party is the side or faction to which the victims in a conflict or hostile situation belong.
-
E.
hasPoliticalAlignmentOfVictims
Indicates that an entity is associated with victims characterized by a particular political alignment.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 27, 2026, 2:30 p.m.