Triple
T14905176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYRR 9+1 program |
E360110
|
entity |
| Predicate | entryAllocationMethod |
P77513
|
FINISHED |
| Object | non-lottery |
—
|
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: non-lottery | Statement: [NYRR 9+1 program, entryAllocationMethod, non-lottery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entryAllocationMethod Context triple: [NYRR 9+1 program, entryAllocationMethod, non-lottery]
-
A.
allocationType
chosen
Indicates the specific manner or category by which resources, responsibilities, or items are assigned or distributed among entities.
-
B.
allocatesAccordingTo
Indicates that one entity distributes or assigns resources, tasks, or responsibilities to others based on a specified rule, criterion, or plan.
-
C.
allocation
Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
-
D.
supportsAllocationMethods
Indicates that one entity enables, is compatible with, or provides mechanisms for using specific allocation methods associated with another entity.
-
E.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:12 a.m.