Triple
T13196888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IMF Board of Governors |
E314134
|
entity |
| Predicate | typicalOfficeHeldByMembers |
P30354
|
FINISHED |
| Object | finance minister |
—
|
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: finance minister | Statement: [IMF Board of Governors, typicalOfficeHeldByMembers, finance minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOfficeHeldByMembers Context triple: [IMF Board of Governors, typicalOfficeHeldByMembers, finance minister]
-
A.
officeHeldByMember
Indicates that a specific office or position is held or occupied by a particular member.
-
B.
corporateOfficeHeldByMembers
Indicates that a corporate office or position within an organization is held or occupied by one or more members.
-
C.
memberHoldsOffice
Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
-
D.
officeHeldOf
Indicates that a specific office or position is (or was) held by a particular person or entity.
-
E.
officeHoldersAreUsuallyMembersOf
chosen
Indicates that individuals who hold a particular office or position are typically also members of the organization or body associated with that office.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.