Triple
T12429245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wehrmacht Long Service Award |
E296981
|
entity |
| Predicate | prohibitedDisplayInGermany |
P43036
|
FINISHED |
| Object | yes (with swastika) |
—
|
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: yes (with swastika) | Statement: [Wehrmacht Long Service Award, prohibitedDisplayInGermany, yes (with swastika)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prohibitedDisplayInGermany Context triple: [Wehrmacht Long Service Award, prohibitedDisplayInGermany, yes (with swastika)]
-
A.
bannedInCountry
chosen
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
-
B.
suppressedInCountry
Indicates that an entity (such as content, activity, or information) is restricted, censored, or otherwise prevented from being available or expressed within a specified country.
-
C.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
D.
isProhibitedFor
Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
-
E.
locatedInPartOfGermany
Indicates that one entity is geographically situated within a specific region or part of Germany.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.