Triple
T14831233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bainimarama |
E348707
|
entity |
| Predicate | COPPresidencyYear |
P116003
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Frank Bainimarama, COPPresidencyYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: COPPresidencyYear Context triple: [Frank Bainimarama, COPPresidencyYear, 2017]
-
A.
APA_PresidencyYear
Indicates the specific year during which an individual held the presidency of the American Psychological Association.
-
B.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
C.
succeededInOfficeAsECPresidentBy
Indicates that one entity was followed in the role of European Commission President by another entity.
-
D.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
E.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90806f3881908fcbfec5bd4ab4d2 |
completed | April 14, 2026, 7:07 p.m. |
Created at: April 10, 2026, 1:52 a.m.