Triple
T32524090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COVID-19 pandemic in Belgium |
E831261
|
entity |
| Predicate | mainDecisionMakers |
P73913
|
FINISHED |
| Object | Prime Minister Sophie Wilmès |
—
|
NE NERFINISHED |
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: Prime Minister Sophie Wilmès | Statement: [COVID-19 pandemic in Belgium, mainDecisionMakers, Prime Minister Sophie Wilmès]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDecisionMakers Context triple: [COVID-19 pandemic in Belgium, mainDecisionMakers, Prime Minister Sophie Wilmès]
-
A.
primaryPeople
Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
-
B.
mainLeaders
Indicates that the referenced entities serve as the primary or most important leaders within a group, organization, or context.
-
C.
decisionsTakenBy
chosen
Indicates that one or more decisions are made or taken by a specified agent or entity.
-
D.
primaryStakeholder
Indicates that an entity is the main party with the greatest interest, responsibility, or influence in relation to another entity, project, or decision.
-
E.
principalInterlocutor
Indicates that one entity serves as the main or primary conversational partner or speaker in an interaction with another entity.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c516640c81909fce8dc8240a00a9 |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.