Triple
T1296525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of Egypt |
E27664
|
entity |
| Predicate | governingSystemContext |
P28368
|
FINISHED |
| Object | semi‑presidential republic |
—
|
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: semi‑presidential republic | Statement: [Senate of Egypt, governingSystemContext, semi‑presidential republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingSystemContext Context triple: [Senate of Egypt, governingSystemContext, semi‑presidential republic]
-
A.
systemContext
Indicates the contextual conditions, settings, or environment within which a system operates or an interaction occurs.
-
B.
policyContext
Indicates the situational or regulatory framework within which a policy is defined, interpreted, or applied.
-
C.
governedAs
Indicates that one entity exercises authoritative control, direction, or rule over another according to some system of governance or leadership.
-
D.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
E.
governanceArea
Indicates the geographic or jurisdictional area over which an entity has governing authority or responsibility.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c3b9ebdc819098de4d3288201bc1 |
completed | March 1, 2026, 10:54 p.m. |
Created at: March 1, 2026, 7:51 p.m.