Triple
T3932246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beji Caid Essebsi |
E90820
|
entity |
| Predicate | officeEnd as Prime Minister of Tunisia |
P52601
|
FINISHED |
| Object | 2011-12-24 |
—
|
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: 2011-12-24 | Statement: [Beji Caid Essebsi, officeEnd as Prime Minister of Tunisia, 2011-12-24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEnd as Prime Minister of Tunisia Context triple: [Beji Caid Essebsi, officeEnd as Prime Minister of Tunisia, 2011-12-24]
-
A.
resultingPrimeMinister
Indicates that an individual becomes or is selected as the prime minister as the outcome of a specified process, event, or selection.
-
B.
firstMinister
Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
-
C.
primeMinisterOf
Indicates that a person holds the office of prime minister as the head of government of a specified country or political entity.
-
D.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
-
E.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
- F. None of above. chosen
Provenance (4 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:23 p.m.