Triple
T355836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Security Council |
E7539
|
entity |
| Predicate | presidencyRotationPeriod |
P1875
|
FINISHED |
| Object | 1 month |
—
|
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: 1 month | Statement: [United Nations Security Council, presidencyRotationPeriod, 1 month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidencyRotationPeriod Context triple: [United Nations Security Council, presidencyRotationPeriod, 1 month]
-
A.
hasRotatingPresidency
chosen
Indicates that the leadership or presidency of an entity is held in turn by different members or parties according to a rotating schedule.
-
B.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
C.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
-
D.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
E.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebad8bf08190b4a38ffd9157d641 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9589e7c8190b2d3af8f858c96af |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.