Triple
T16562084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kais Saied |
E402362
|
entity |
| Predicate | tookExceptionalMeasuresOn |
P84108
|
FINISHED |
| Object | 2021-07-25 |
—
|
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: 2021-07-25 | Statement: [Kais Saied, tookExceptionalMeasuresOn, 2021-07-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookExceptionalMeasuresOn Context triple: [Kais Saied, tookExceptionalMeasuresOn, 2021-07-25]
-
A.
isEmergencyMeasure
chosen
Indicates that an action, policy, or measure is taken specifically in response to an urgent or crisis situation, typically as a temporary or exceptional intervention.
-
B.
reasonForSpecialMeasures
Indicates that one entity specifies the justification or cause for which special measures or exceptional actions are taken regarding another entity.
-
C.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
D.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
E.
counterMeasureAgainst
Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576eb63081908cb5dc6c0a8a13ac |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.