Triple
T2973580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg von Küchler |
E80339
|
entity |
| Predicate | dateAwardedKnightCross |
P12114
|
FINISHED |
| Object | 1940-06-30 |
—
|
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: 1940-06-30 | Statement: [Georg von Küchler, dateAwardedKnightCross, 1940-06-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAwardedKnightCross Context triple: [Georg von Küchler, dateAwardedKnightCross, 1940-06-30]
-
A.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
B.
wartimeAward
Indicates that an entity received an award or honor specifically in the context of wartime or military conflict.
-
C.
peacetimeAward
Indicates that an award or honor is given during a period of peace rather than during wartime or active conflict.
-
D.
dateOfKnighthood
chosen
Indicates the specific date on which an individual was formally granted knighthood.
-
E.
confersKnighthood
Indicates that one entity formally grants the status or title of knighthood to 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.