Triple
T28022377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RENAMO |
E707722
|
entity |
| Predicate | AfonsoDhlakamaLeadershipEnd |
P77600
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [RENAMO, AfonsoDhlakamaLeadershipEnd, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfonsoDhlakamaLeadershipEnd Context triple: [RENAMO, AfonsoDhlakamaLeadershipEnd, 2018]
-
A.
notableLeaderOfFRELIMO
Indicates that a person is a prominent or historically significant leader of the FRELIMO political organization or movement.
-
B.
hadLeadershipFrom
Indicates that one entity received leadership, guidance, or direction from another entity.
-
C.
firstPresidentOfMozambiqueFromParty
Indicates that the subject is the first person to have served as President of Mozambique who was a member of the specified political party.
-
D.
hadPrincipalLeader
chosen
Indicates that an entity was led or headed by a primary or chief leader.
-
E.
firstPresidentOfAngolaFromParty
Indicates that a person is the first individual from a specified political party to serve as President of Angola.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd79e4c8190af9263b679e5ff07 |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 8:10 p.m.