Triple
T75333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS |
E1506
|
entity |
| Predicate | controlled |
P4700
|
FINISHED |
| Object | concentration camps |
—
|
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: concentration camps | Statement: [SS, controlled, concentration camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlled Context triple: [SS, controlled, concentration camps]
-
A.
held
Indicates that one entity physically grasped, carried, or kept another entity in its possession or control.
-
B.
considered
Indicates that one entity regards, judges, or thinks about another entity in a particular way or context.
-
C.
holding
Indicates that one entity is physically grasping, carrying, or keeping another entity in its possession or control.
-
D.
restriction
Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
-
E.
determined
Indicates that an entity has firmly decided on a course of action or conclusion, typically after consideration or effort.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a25314bd6c81908d1cfd4b83f20049 |
completed | Feb. 28, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69a24eae77ec81909015906f31f2b62e |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a25313f1688190ba0fa8677faaf65b |
completed | Feb. 28, 2026, 2:29 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.