Triple
T1136172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davisson–Germer Prize in Atomic or Surface Physics |
E23144
|
entity |
| Predicate | typicalAwardType |
P26432
|
FINISHED |
| Object | monetary prize |
—
|
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: monetary prize | Statement: [Davisson–Germer Prize in Atomic or Surface Physics, typicalAwardType, monetary prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardType Context triple: [Davisson–Germer Prize in Atomic or Surface Physics, typicalAwardType, monetary prize]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
C.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
-
D.
typicalAwardDate
Indicates the date on which an award is customarily or normally given or conferred.
-
E.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bddfa598819088690e1ab010ba0b |
completed | March 1, 2026, 10:29 p.m. |
Created at: March 1, 2026, 7:44 p.m.