Triple
T1859960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deputy Prime Minister of Cuba |
E41791
|
entity |
| Predicate | officeFunction |
P7602
|
FINISHED |
| Object | policy coordination |
—
|
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: policy coordination | Statement: [Deputy Prime Minister of Cuba, officeFunction, policy coordination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeFunction Context triple: [Deputy Prime Minister of Cuba, officeFunction, policy coordination]
-
A.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
B.
officeTerm
Indicates the period of time during which an individual officially holds a particular position or office.
-
C.
officeMergedInto
Indicates that one office has been combined with and absorbed into another office, ceasing to exist as a separate entity.
-
D.
officeScope
chosen
Indicates that a relationship, authority, or action is limited to, defined within, or applicable only in the context of a particular office or official position.
-
E.
supportsOffice
Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.