Triple
T13021512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thongloun Sisoulith |
E326181
|
entity |
| Predicate | termStartAsGeneralSecretary |
P1056
|
FINISHED |
| Object | 2021 |
—
|
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 | Statement: [Thongloun Sisoulith, termStartAsGeneralSecretary, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsGeneralSecretary Context triple: [Thongloun Sisoulith, termStartAsGeneralSecretary, 2021]
-
A.
secretaryGeneralStart
chosen
Indicates the date or point in time when an individual begins serving as secretary general of an organization or body.
-
B.
termStartAsUNDeputySecretaryGeneral
Indicates that an individual began serving in the role of United Nations Deputy Secretary-General at a specified time.
-
C.
termStartAsMinisterGeneral
Indicates the date or point in time when an individual begins serving in the role of Minister General.
-
D.
termStartAsUNGAPresident
Indicates that an individual begins their term of office serving as President of the United Nations General Assembly.
-
E.
termStartAsSecretaryOfCommerce
Indicates the date or point in time when an individual begins serving in the role of Secretary of Commerce.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:52 p.m.