Triple
T17124311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiès Region |
E415550
|
entity |
| Predicate | gatewayRole |
P110756
|
FINISHED |
| Object | gateway to Senegal |
—
|
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: gateway to Senegal | Statement: [Thiès Region, gatewayRole, gateway to Senegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gatewayRole Context triple: [Thiès Region, gatewayRole, gateway to Senegal]
-
A.
roleInGateway
chosen
Indicates that an entity holds a specific function or responsibility within a particular gateway system or process.
-
B.
gammaRole
Indicates a tertiary or supporting role that an entity plays within a structured hierarchy of roles or participants in an event or relationship.
-
C.
lambdaRole
Indicates that one entity functions as a lambda expression or anonymous functional role in relation to another entity within a logical or computational structure.
-
D.
guestRole
Indicates that one entity participates in or is associated with another entity in the capacity of a guest, specifying the nature or type of that guest participation.
-
E.
accessRole
Indicates the specific permissions or level of authority an entity has when accessing another entity or resource.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.