Triple
T29642248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kogo |
E755892
|
entity |
| Predicate | isInCountryWithGovernmentType |
P63971
|
FINISHED |
| Object | 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: presidential republic | Statement: [Kogo, isInCountryWithGovernmentType, presidential republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInCountryWithGovernmentType Context triple: [Kogo, isInCountryWithGovernmentType, presidential republic]
-
A.
hasGovernmentTypeCountry
Indicates that a country possesses or is characterized by a particular form or type of government.
-
B.
countryGovernmentRecognitionType
Indicates the type or status of official recognition that one country’s government has in relation to another state or governing authority.
-
C.
governingSystemCountry
chosen
Indicates that a particular system of governance is the ruling or official governing system used by a given country.
-
D.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
-
E.
countryGoverningBody
Indicates that a particular governing body holds official authority over and administers a specific country.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66ed0653c819085adda918bd12f83 |
completed | May 2, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 6:47 p.m.