Triple
T5823634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balzan Prize |
E129167
|
entity |
| Predicate | conditionOfAward |
P216
|
FINISHED |
| Object | part of prize money must be used for research |
—
|
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: part of prize money must be used for research | Statement: [Balzan Prize, conditionOfAward, part of prize money must be used for research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionOfAward Context triple: [Balzan Prize, conditionOfAward, part of prize money must be used for research]
-
A.
awardCriteria
chosen
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
B.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
C.
appliesToAwardType
Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
-
D.
canBeAwarded
Indicates that an entity is eligible to receive or be granted a particular award, prize, or honor.
-
E.
requiresAwardsFrom
Indicates that one entity can only proceed, qualify, or be valid if it has received specified awards from 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.