Triple
T2276779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiftung Topographie des Terrors |
E50788
|
entity |
| Predicate | hasThematicScope |
P18525
|
FINISHED |
| Object | Nazi terror institutions and their perpetrators |
—
|
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: Nazi terror institutions and their perpetrators | Statement: [Stiftung Topographie des Terrors, hasThematicScope, Nazi terror institutions and their perpetrators]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicScope Context triple: [Stiftung Topographie des Terrors, hasThematicScope, Nazi terror institutions and their perpetrators]
-
A.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
B.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
C.
thematicArea
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
D.
subjectMatterScope
chosen
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
E.
hasThemeConnection
Indicates a relationship where one entity is linked to another through a shared or related theme, topic, or conceptual focus.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1ee22988190b7fa28b0b62e8668 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.