Triple
T18454415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Rotary International |
E450865
|
entity |
| Predicate | termUnit |
P27205
|
FINISHED |
| Object | year |
—
|
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: year | Statement: [President of Rotary International, termUnit, year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termUnit Context triple: [President of Rotary International, termUnit, year]
-
A.
teachingUnit
Indicates that one entity functions as an instructional or educational unit used for teaching another entity.
-
B.
designationUnit
Indicates that one entity serves as the unit or standard of measure used to designate, label, or quantify another entity.
-
C.
definesUnit
chosen
Indicates that one entity specifies the measurement unit or standard by which the value or quantity of another entity is expressed.
-
D.
basicUnitOf
Indicates that one entity serves as the fundamental or smallest constituent unit from which the other entity is composed or defined.
-
E.
componentUnit
Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite entity.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264b200c8190be2e79ca5ea0b082 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.