Triple
T211386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council for the Economy |
E4725
|
entity |
| Predicate | hasCardinalMembersCount |
P6953
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Council for the Economy, hasCardinalMembersCount, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCardinalMembersCount Context triple: [Council for the Economy, hasCardinalMembersCount, 8]
-
A.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
-
B.
numberOfKnownMembers
chosen
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
-
C.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
D.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
E.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.