Triple
T7063056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutsches Kreuz in Gold |
E164268
|
entity |
| Predicate | awardedForToReceive |
P74809
|
FINISHED |
| Object | acts beyond those recognized by the Iron Cross 1st Class |
—
|
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: acts beyond those recognized by the Iron Cross 1st Class | Statement: [Deutsches Kreuz in Gold, awardedForToReceive, acts beyond those recognized by the Iron Cross 1st Class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForToReceive Context triple: [Deutsches Kreuz in Gold, awardedForToReceive, acts beyond those recognized by the Iron Cross 1st Class]
-
A.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
B.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
awardedWhen
Indicates the time or condition under which an award or recognition is given to an entity.
-
E.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:38 p.m.