Triple
T55811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard M. Gordon Prize for Innovation in Engineering and Technology Education |
E1103
|
entity |
| Predicate | reward |
P107
|
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: [Bernard M. Gordon Prize for Innovation in Engineering and Technology Education, reward, monetary prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reward Context triple: [Bernard M. Gordon Prize for Innovation in Engineering and Technology Education, reward, monetary prize]
-
A.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
C.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
-
D.
restriction
Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
-
E.
awardType
Indicates the specific category or kind of award associated with an entity or event.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b3a9e848190b80de3c858678b3a |
completed | Feb. 28, 2026, 1:56 a.m. |
| PD | Predicate disambiguation | batch_69a24ac52fb08190aa7c38f83434f795 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.