Triple
T4103003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conseil des ministres |
E87982
|
entity |
| Predicate | hasTypeOfAct |
P20949
|
FINISHED |
| Object | décret en Conseil des ministres |
—
|
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: décret en Conseil des ministres | Statement: [Conseil des ministres, hasTypeOfAct, décret en Conseil des ministres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfAct Context triple: [Conseil des ministres, hasTypeOfAct, décret en Conseil des ministres]
-
A.
hasActingType
Indicates that an entity participates in or performs an action in a specified manner, role, or mode of acting.
-
B.
hasActivityType
chosen
Indicates the specific kind or category of activity associated with an entity or event.
-
C.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd116dac8190952cb2ddf63216ec |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.