Triple
T10116416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schulich Leader Scholarships |
E218370
|
entity |
| Predicate | numberOfAwardsPerYearInIsrael |
P92286
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Schulich Leader Scholarships, numberOfAwardsPerYearInIsrael, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAwardsPerYearInIsrael Context triple: [Schulich Leader Scholarships, numberOfAwardsPerYearInIsrael, 50]
-
A.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
-
B.
TonightTonightAwardYear
Indicates the year in which a specific Tonight Tonight Award was given or is associated with.
-
C.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
D.
awardedForYearOfRelease
Indicates that an award is given in recognition of a work based on the year in which that work was released.
-
E.
collegeAwardYear
Indicates the year in which a college-level award was granted or conferred.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd162fac0819084c74947c1f6688e |
completed | April 2, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9ed7e48190aa132ef8a69b49f9 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:04 p.m.