Triple
T25967958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جيبوتي |
E645726
|
entity |
| Predicate | نظام_الحكم |
P125963
|
FINISHED |
| Object | جمهورية شبه رئاسية |
—
|
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: جمهورية شبه رئاسية | Statement: [جيبوتي, نظام_الحكم, جمهورية شبه رئاسية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نظام_الحكم Context triple: [جيبوتي, نظام_الحكم, جمهورية شبه رئاسية]
-
A.
نظامالحكم
chosen
Indicates the type or structure of governance or political system under which an entity is ruled.
-
B.
countryGovernmentSystemDuringExistence
Indicates the form of government a country had during its period of existence.
-
C.
laterPoliticalSystemUnderRule
Indicates that one political system came under the rule or authority of another political system at a later point in time.
-
D.
politicalSystemDuringRule
Indicates the type of political system that was in place during a particular ruler’s period of governance.
-
E.
governedPolityThroughDynasty
Indicates that a person or group exercised governing authority over a polity specifically by means of holding power within a particular dynasty.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.