Triple
T21433493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazi book burning of 10 May 1933 |
E528747
|
entity |
| Predicate | notableWorkDestroyed |
P80809
|
FINISHED |
| Object | works by Heinrich Heine |
—
|
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: works by Heinrich Heine | Statement: [Nazi book burning of 10 May 1933, notableWorkDestroyed, works by Heinrich Heine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableWorkDestroyed Context triple: [Nazi book burning of 10 May 1933, notableWorkDestroyed, works by Heinrich Heine]
-
A.
landmarksDestroyed
Indicates that certain notable or significant physical landmarks have been damaged or completely destroyed.
-
B.
worksDestroyedBy
chosen
Indicates that certain works have been ruined, demolished, or rendered unusable as a result of the actions or effects of a specified agent or cause.
-
C.
sufferedDestructionIn
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
D.
buildingsDestroyed
Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
-
E.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813fe2108190a4193f69667fe79e |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 6 p.m.