Triple
T18906641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abeid Karume |
E462479
|
entity |
| Predicate | Amani Abeid Karume-relationship |
P133742
|
FINISHED |
| Object | son |
—
|
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: son | Statement: [Abeid Karume, Amani Abeid Karume-relationship, son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Amani Abeid Karume-relationship Context triple: [Abeid Karume, Amani Abeid Karume-relationship, son]
-
A.
hasPoliticalRelationshipWith
Indicates a political connection or association between two entities, such as alliances, rivalries, collaborations, or other forms of political interaction.
-
B.
marriedToHeadOfGovernmentOf
Indicates that one entity is the spouse of the person who holds the position of head of government of the other entity.
-
C.
resultedInFirstElectedFemaleHeadOfStateInAfrica
Indicates that an event, action, or circumstance led to the election of the first female head of state in Africa.
-
D.
spouseOfLeader
Indicates that one entity is the married partner (spouse) of another entity who holds a leadership position.
-
E.
notableLeaderOfFRELIMO
Indicates that a person is a prominent or historically significant leader of the FRELIMO political organization or movement.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52cc9cc8190ac489d36e51693c8 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4afa745c081908da20a51ebc147b4 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 11:58 a.m.