Triple
T38604460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Johnson ministry |
E934303
|
entity |
| Predicate | numberOfWomenInCabinetAtFormation |
—
|
GENERATED |
| Object | about 7 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWomenInCabinetAtFormation Context triple: [Second Johnson ministry, numberOfWomenInCabinetAtFormation, about 7]
-
A.
hasNumberOfWomenMinisters
chosen
Indicates the minimum number of women serving as ministers in a given government or governing body.
-
B.
numberOfMenInFirstCabinet
Indicates the count of male members in the first-formed cabinet of a given government or administration.
-
C.
numberOfCabinetMembers
Indicates the total count of cabinet members associated with a given government, administration, or leader.
-
D.
hasNumberOfMinisters
Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
-
E.
numberOfWomenCountyMembers
Indicates the count of women who are members within a given county.
- F. None of above.
Provenance (1 batch)
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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.