Triple
T3525023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Lottery |
E74516
|
entity |
| Predicate | hasRevenueUse |
P9389
|
FINISHED |
| Object | prize payouts |
—
|
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: prize payouts | Statement: [National Lottery, hasRevenueUse, prize payouts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRevenueUse Context triple: [National Lottery, hasRevenueUse, prize payouts]
-
A.
revenueUse
chosen
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
-
B.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
C.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
D.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
E.
usedInTaxPayments
Indicates that something is employed or applied as part of making or fulfilling tax payments.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.