Triple
T26035119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIH Early Independence Award |
E647529
|
entity |
| Predicate | approximateAnnualNumberOfAwards |
P92284
|
FINISHED |
| Object | about 10 awards per year |
—
|
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: about 10 awards per year | Statement: [NIH Early Independence Award, approximateAnnualNumberOfAwards, about 10 awards per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateAnnualNumberOfAwards Context triple: [NIH Early Independence Award, approximateAnnualNumberOfAwards, about 10 awards per year]
-
A.
numberOfAwardsPerYear
chosen
Indicates the number of awards associated with an entity within a given year.
-
B.
numberOfAwards
Indicates the total count of awards that have been received by an entity.
-
C.
awardsAre
Indicates that one entity confers or grants awards or honors to another entity.
-
D.
mostAwardsWinnerCount
Indicates the number of awards received by the entity that holds the record for winning the most awards within a given context.
-
E.
prizesAreAnnual
Indicates that the prizes are awarded or given out once every year.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 22, 2026, 9:07 a.m.