Triple
T21471319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 FIFA corruption case |
E529738
|
entity |
| Predicate | dateOfMajorArrests |
P3170
|
FINISHED |
| Object | 2015-05-27 |
—
|
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: 2015-05-27 | Statement: [2015 FIFA corruption case, dateOfMajorArrests, 2015-05-27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfMajorArrests Context triple: [2015 FIFA corruption case, dateOfMajorArrests, 2015-05-27]
-
A.
numberOfArrests
Indicates the count of times an entity has been arrested.
-
B.
dateOfArrest
chosen
Indicates the specific date on which an entity was formally arrested by an authority.
-
C.
dateOfNotableIncarceration
Indicates the specific date on which an entity began a notable or historically significant period of incarceration.
-
D.
dateOfMainCrime
Indicates the specific calendar date on which the primary or principal crime in question was committed.
-
E.
wasArrested
Indicates that an authority detained and took a person into legal custody in connection with a suspected offense.
- 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.