Triple
T25480646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B2 road in Namibia |
E638561
|
entity |
| Predicate | formsPartOfCorridorConnectingTo |
P85888
|
FINISHED |
| Object | Botswana |
—
|
NE NERFINISHED |
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: Botswana | Statement: [B2 road in Namibia, formsPartOfCorridorConnectingTo, Botswana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsPartOfCorridorConnectingTo Context triple: [B2 road in Namibia, formsPartOfCorridorConnectingTo, Botswana]
-
A.
isPartOfCorridorSystem
chosen
Indicates that one entity forms a component or segment within a larger interconnected corridor system.
-
B.
linkedByCorridor
Indicates that two locations are directly connected to each other by a corridor.
-
C.
passagewayConnection
Indicates a relationship where one passageway provides a direct route or link between two locations or spaces.
-
D.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
E.
corridorType
Indicates the specific kind or classification of a corridor associated with an entity or location.
- 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 2:31 p.m.