Triple
T3931990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Balkenende cabinet |
E90814
|
entity |
| Predicate | numberOfMinisters |
P36242
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [First Balkenende cabinet, numberOfMinisters, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMinisters Context triple: [First Balkenende cabinet, numberOfMinisters, 14]
-
A.
hasNumberOfMinisters
chosen
Indicates the specific count of ministers associated with an entity, such as a government, cabinet, or organization.
-
B.
numberOfMinistersLimit
Indicates a constraint specifying the maximum allowable number of ministers in a given context or governing body.
-
C.
numberOfMinistries
Indicates the total count of ministries associated with or belonging to a given entity.
-
D.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
E.
numberOfCabinetMembers
Indicates the total count of cabinet members associated with a given government, administration, or leader.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.