Triple
T5647331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trawniki concentration camp |
E124415
|
entity |
| Predicate | perpetratorGroup |
P40753
|
FINISHED |
| Object | SS personnel |
—
|
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: SS personnel | Statement: [Trawniki concentration camp, perpetratorGroup, SS personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorGroup Context triple: [Trawniki concentration camp, perpetratorGroup, SS personnel]
-
A.
perpetratedBy
Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
-
B.
perpetratorNationality
Indicates the country or nationality to which a perpetrator of an act, crime, or harmful event belongs.
-
C.
perpetratorAllegiance
chosen
Indicates that the perpetrator is affiliated with, loyal to, or acting on behalf of a particular group, organization, or cause.
-
D.
accusedGroup
Indicates that one group is formally charged or blamed by another party for committing a wrongdoing or offense.
-
E.
perpetratorStatus
Indicates the role or condition of an individual in relation to committing or being responsible for a specific harmful or criminal act.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022abf0108190b10b3a9fe1688bf9 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.