Triple
T11578783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigerian Ports Authority |
E274570
|
entity |
| Predicate | typeOfPortSystem |
P15304
|
FINISHED |
| Object | landlord model |
—
|
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: landlord model | Statement: [Nigerian Ports Authority, typeOfPortSystem, landlord model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPortSystem Context triple: [Nigerian Ports Authority, typeOfPortSystem, landlord model]
-
A.
typeOfPortFacility
Indicates that one port facility is classified as a specific type or category of port facility in relation to another.
-
B.
systemType
chosen
Indicates the classification or category of a system that an entity belongs to or operates as.
-
C.
hasPortType
Indicates that an entity is associated with, or characterized by, a specific type or category of port.
-
D.
isPortFor
Indicates that one entity serves as a port, interface, or connection point for another entity.
-
E.
typicalPort
Indicates that a specified port is commonly or normally used for a given service, protocol, or application.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.