Triple
T28822232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macky Sall |
E727800
|
entity |
| Predicate | startTime (President of Senegal) |
P195810
|
FINISHED |
| Object | 2012-04-02 |
—
|
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: 2012-04-02 | Statement: [Macky Sall, startTime (President of Senegal), 2012-04-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (President of Senegal) Context triple: [Macky Sall, startTime (President of Senegal), 2012-04-02]
-
A.
startTime (President of Portugal)
Indicates the point in time at which a person begins serving as President of Portugal.
-
B.
startTime (President of Poland)
Indicates the point in time at which a person begins serving as President of Poland.
-
C.
startTime (President of the Chamber of Deputies)
Indicates the date and time at which a person began serving as President of the Chamber of Deputies.
-
D.
startTime (President of Argentina)
Indicates the point in time at which a person begins serving as President of Argentina.
-
E.
startTime (United States Senator)
Indicates the point in time at which an individual’s service as a United States Senator begins.
- 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_69f0319d09088190bbf14cdf1987792a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
| PDg | Predicate description generation | batch_69fde9fb68388190ada4a7018e2a2f76 |
completed | May 8, 2026, 1:49 p.m. |
Created at: April 28, 2026, 6:34 a.m.