Triple
T5752343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit Coins |
E126881
|
entity |
| Predicate | spendingMechanism |
P43683
|
FINISHED |
| Object | awarding posts |
—
|
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: awarding posts | Statement: [Reddit Coins, spendingMechanism, awarding posts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spendingMechanism Context triple: [Reddit Coins, spendingMechanism, awarding posts]
-
A.
authorizedSpending
Indicates that an entity has been granted permission to spend or allocate a specified amount of resources, typically funds, under defined conditions.
-
B.
economicMechanism
chosen
Indicates an economic process, structure, or set of rules through which resources, incentives, or transactions are organized and outcomes are generated.
-
C.
supportsSpendingCategory
Indicates that one entity allows, enables, or is compatible with making expenditures in a specified spending category.
-
D.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
E.
paySystem
Indicates that one entity provides monetary or other compensation to another entity through a particular method, platform, or mechanism.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.