Triple
T3087977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao People’s Revolutionary Party |
E64419
|
entity |
| Predicate | leadsOffice |
P43436
|
FINISHED |
| Object | President of Laos |
—
|
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: President of Laos | Statement: [Lao People’s Revolutionary Party, leadsOffice, President of Laos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadsOffice Context triple: [Lao People’s Revolutionary Party, leadsOffice, President of Laos]
-
A.
officeItAbbreviatesLeads
Indicates that an office-related IT abbreviation serves as or corresponds to the leading part or primary form of another term or designation.
-
B.
layOffice
chosen
Indicates that one entity holds or occupies a particular office, position, or role in relation to another entity.
-
C.
limitsOffice
Indicates that one entity imposes a restriction or cap on the scope, duration, or powers of another entity’s office or official position.
-
D.
otherOffice
Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.