Triple
T10883166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Jews |
E256974
|
entity |
| Predicate | discriminatedBy |
P2109
|
FINISHED |
| Object | antisemitic laws in Nazi Germany |
—
|
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: antisemitic laws in Nazi Germany | Statement: [German Jews, discriminatedBy, antisemitic laws in Nazi Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discriminatedBy Context triple: [German Jews, discriminatedBy, antisemitic laws in Nazi Germany]
-
A.
typeOfDiscrimination
Indicates a relationship where one party is subjected to a specific kind or category of discriminatory treatment by another party or within a given context.
-
B.
isDistinguishedBy
Indicates that one entity is characterized or set apart from others by a particular feature, quality, or attribute.
-
C.
hasDiscriminant
Indicates that a mathematical object (such as an equation, polynomial, or form) is associated with a specific discriminant value characterizing its roots or structural properties.
-
D.
determinedBy
Indicates that one entity’s state, value, or outcome is decided, controlled, or fully specified by another entity.
-
E.
discriminatedAgainst
chosen
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751db24208190b3a7ed7eea118522 |
completed | April 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.