Triple
T2172050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakthrough Prize in Life Sciences |
E48447
|
entity |
| Predicate | hasAwardedAmount |
P25364
|
FINISHED |
| Object | 3000000 USD |
—
|
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: 3000000 USD | Statement: [Breakthrough Prize in Life Sciences, hasAwardedAmount, 3000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedAmount Context triple: [Breakthrough Prize in Life Sciences, hasAwardedAmount, 3000000 USD]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
awardAmount
chosen
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
-
C.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
D.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
E.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.