Triple
T21471364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 FIFA corruption case |
E529738
|
entity |
| Predicate | totalBribesAlleged |
P124858
|
FINISHED |
| Object | over 150 million US dollars |
—
|
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: over 150 million US dollars | Statement: [2015 FIFA corruption case, totalBribesAlleged, over 150 million US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalBribesAlleged Context triple: [2015 FIFA corruption case, totalBribesAlleged, over 150 million US dollars]
-
A.
bribedBy
Indicates that an entity has received a bribe from another entity, implying an exchange of value to influence the entity’s actions or decisions.
-
B.
bribeObject
Indicates that something is the item, benefit, or payment offered or given as a bribe in a bribery action.
-
C.
ballotSeizures
Indicates the act of authorities or other actors taking possession of ballots, typically by force or legal order, removing them from the control of their original handlers.
-
D.
numberOfPeopleAccused
Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
-
E.
amountInvolvedApprox
chosen
Indicates that the relationship specifies an approximate value or quantity involved in an action, event, or transaction.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea13adfc819093324ae6fe66c3fd |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:18 p.m.