Triple
T5536720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Senators of Bolivia |
E145179
|
entity |
| Predicate | membersPerDepartment |
P31691
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Chamber of Senators of Bolivia, membersPerDepartment, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membersPerDepartment Context triple: [Chamber of Senators of Bolivia, membersPerDepartment, 4]
-
A.
personnelComposition
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
B.
departmentNumber
Indicates the specific numeric code assigned to identify a particular department within an organization or system.
-
C.
staffSize
Indicates the number of staff members associated with an entity.
-
D.
numberOfGroupMembers
chosen
Indicates the total count of individual members that belong to a specified group.
-
E.
numberOfBoardMembers
Indicates the total count of individuals who serve as members on a board.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.