Triple
T31767126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRM |
E810839
|
entity |
| Predicate | hasLongTermLeader |
P981
|
FINISHED |
| Object | Yoweri Museveni |
—
|
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: Yoweri Museveni | Statement: [NRM, hasLongTermLeader, Yoweri Museveni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermLeader Context triple: [NRM, hasLongTermLeader, Yoweri Museveni]
-
A.
hasLeader
chosen
Indicates that one entity serves as the leader or head of another entity.
-
B.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
C.
laterLeader
Indicates that one entity serves as a leader or holds a leadership role at a later time than another specified leader.
-
D.
hasMajorityLeader
Indicates that one entity serves as the primary or leading decision-making authority (majority leader) for another entity, typically within a governing or organizational body.
-
E.
recordedAsLeaderBy
Indicates that an entity is documented or registered as the leader by a particular source, system, or authority.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 30, 2026, 11:32 p.m.