Triple
T12989605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monguno |
E321867
|
entity |
| Predicate | hasStateGovernor |
P91442
|
FINISHED |
| Object | Governor of Borno State |
—
|
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: Governor of Borno State | Statement: [Monguno, hasStateGovernor, Governor of Borno State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStateGovernor Context triple: [Monguno, hasStateGovernor, Governor of Borno State]
-
A.
stateOfGovernorship
chosen
Indicates the relationship in which an individual holds or held the official position and authority of governor over a specific jurisdiction.
-
B.
hasLieutenantGovernor
Indicates that one entity serves as the lieutenant governor of another entity (typically a state, province, or territory).
-
C.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
D.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
E.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:43 p.m.