Triple
T14458434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOT investigative programme |
E358514
|
entity |
| Predicate | hasInvestigated |
P69086
|
FINISHED |
| Object | political corruption in Finland |
—
|
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: political corruption in Finland | Statement: [MOT investigative programme, hasInvestigated, political corruption in Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestigated Context triple: [MOT investigative programme, hasInvestigated, political corruption in Finland]
-
A.
areInvestigatedFor
chosen
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
B.
hasInvestigationTrigger
Indicates that one entity serves as the cause, condition, or event that initiates or justifies an investigation into another entity.
-
C.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
D.
hasLaterInvestigation
Indicates that one investigation occurs after and follows from another in time.
-
E.
investigatedUsing
Indicates that an investigation, study, or analysis was carried out by means of a specified method, tool, or resource.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91aabebc819097eb61b2d81c9a91 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.