Triple
T34520996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namadi Sambo |
E886278
|
entity |
| Predicate | genreOfPoliticalEntity |
P103958
|
FINISHED |
| Object | federal republic (Nigeria) |
—
|
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 republic (Nigeria) | Statement: [Namadi Sambo, genreOfPoliticalEntity, federal republic (Nigeria)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfPoliticalEntity Context triple: [Namadi Sambo, genreOfPoliticalEntity, federal republic (Nigeria)]
-
A.
typeOfPolity
chosen
Indicates that one entity is a political unit and the other specifies the kind or classification of that polity (e.g., empire, kingdom, republic).
-
B.
politicalEntityTypeRuled
Indicates the type or category of political entity over which a ruler or governing authority exercises control or sovereignty.
-
C.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
D.
genreOfPoliticalPosition
Indicates that one political position belongs to, or is categorized under, a broader genre or type of political position.
-
E.
featuresPoliticalEntity
Indicates that something includes, presents, or prominently involves a political entity in its content or composition.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: May 1, 2026, 2:02 a.m.