Triple
T2973581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg von Küchler |
E80339
|
entity |
| Predicate | dateAwardedOakLeaves |
P19685
|
FINISHED |
| Object | 1942-01-16 |
—
|
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: 1942-01-16 | Statement: [Georg von Küchler, dateAwardedOakLeaves, 1942-01-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateAwardedOakLeaves Context triple: [Georg von Küchler, dateAwardedOakLeaves, 1942-01-16]
-
A.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
B.
lifetimeAward
Indicates that an entity has received a special honor or recognition for achievements spanning the entirety or a significant portion of their career or life.
-
C.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
D.
militaryAward
chosen
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
E.
majorHonourCount
Indicates the number of significant or top-level honors or awards associated with an 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.