Triple
T38680666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kojo Botsio |
E943883
|
entity |
| Predicate | sharesBorderWithInPoliticalActivity |
P202996
|
FINISHED |
| Object | Kwame Nkrumah |
—
|
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: Kwame Nkrumah | Statement: [Kojo Botsio, sharesBorderWithInPoliticalActivity, Kwame Nkrumah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesBorderWithInPoliticalActivity Context triple: [Kojo Botsio, sharesBorderWithInPoliticalActivity, Kwame Nkrumah]
-
A.
hasPoliticalActivityIn
Indicates that an entity engages in or is associated with political activities within a specified location or jurisdiction.
-
B.
postPoliticalActivity
Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
-
C.
restrictedPoliticalActivity
Indicates that an entity’s political actions or participation are limited, controlled, or prohibited under certain rules or conditions.
-
D.
sharesPoliticalMovementWith
Indicates that two entities are associated with, support, or participate in the same political movement.
-
E.
politicalActivityRegion
Indicates the geographic region or area in which a political activity takes place or is focused.
- F. None of above. chosen
Provenance (4 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
| PDg | Predicate description generation | batch_6a00d8b8eac08190809c78998e09c47c |
completed | May 10, 2026, 7:12 p.m. |
Created at: May 3, 2026, 4:33 p.m.