Triple
T21970698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Education Lottery 200 |
E542579
|
entity |
| Predicate | usesStagePointsSystem |
P64949
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [North Carolina Education Lottery 200, usesStagePointsSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStagePointsSystem Context triple: [North Carolina Education Lottery 200, usesStagePointsSystem, yes]
-
A.
usesStageRacing
Indicates that an entity employs or applies stage racing as a method, format, or strategy in its activities or operations.
-
B.
usesPointsSystem
chosen
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
-
C.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
D.
usesStageType
Indicates that one entity employs or operates with a particular type or category of stage.
-
E.
usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245e4ebc8190968108cc95a22fe4 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:02 p.m.