Triple
T17981324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shchyokino |
E449606
|
entity |
| Predicate | hasGovernmentSystemOfCountry |
P66248
|
FINISHED |
| Object | federal 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: federal semi-presidential republic | Statement: [Shchyokino, hasGovernmentSystemOfCountry, federal semi-presidential republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentSystemOfCountry Context triple: [Shchyokino, hasGovernmentSystemOfCountry, federal semi-presidential republic]
-
A.
hasGovernmentTypeCountry
chosen
Indicates that a country possesses or is characterized by a particular form or type of government.
-
B.
governingSystemCountry
Indicates that a particular system of governance is the ruling or official governing system used by a given country.
-
C.
hasFormOfGovernmentContext
Indicates that an entity has a particular form of government specifically within a given contextual scope (such as a time period, jurisdiction, or situation).
-
D.
hasGovernmentBody
Indicates that one entity serves as the official governing or administrative body responsible for overseeing or managing another entity.
-
E.
hasConsolidatedGovernmentWith
Indicates that two or more previously separate governmental entities have been merged into a single, unified government structure.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20431588190a5fe2148a61de403 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.