Triple
T28545339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives (South Africa) |
E722419
|
entity |
| Predicate | chamberNumberInParliament |
P166225
|
FINISHED |
| Object | one of three chambers |
—
|
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: one of three chambers | Statement: [House of Representatives (South Africa), chamberNumberInParliament, one of three chambers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chamberNumberInParliament Context triple: [House of Representatives (South Africa), chamberNumberInParliament, one of three chambers]
-
A.
chamberNumberElected
Indicates the specific legislative chamber or house to which an individual was elected.
-
B.
partOfChamber
Indicates that one entity is a component or section within a larger chamber or enclosed space.
-
C.
numberOfPartiesInChamber
Indicates the total count of distinct parties represented within a specific legislative chamber.
-
D.
representedChamber
Indicates that one entity served as the legislative chamber or house in which another entity (such as a person or office) held representation or a seat.
-
E.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
- F. None of above. chosen
Provenance (4 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 3:38 a.m.