Triple
T24982031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transmission Company of Nigeria |
E625193
|
entity |
| Predicate | gridOwnership |
P27908
|
FINISHED |
| Object | national transmission network of 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: national transmission network of Nigeria | Statement: [Transmission Company of Nigeria, gridOwnership, national transmission network of Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridOwnership Context triple: [Transmission Company of Nigeria, gridOwnership, national transmission network of Nigeria]
-
A.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
B.
ownsOrLeases
chosen
Indicates that one entity has legal rights to use or control another entity either through ownership or through a lease agreement.
-
C.
ownsPropertyIn
Indicates that one entity possesses legal ownership rights over property located within a specified place or jurisdiction.
-
D.
squareProperty
Indicates that one entity is the square (second power) of a numerical property or value associated with another entity.
-
E.
ownershipSince
Indicates the point in time from which an entity has continuously owned another entity.
- 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490762b481908845ff22031adc43 |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:02 a.m.