Triple
T37214980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ntungamo District |
E922711
|
entity |
| Predicate | countryPresidentBornHere |
P106987
|
FINISHED |
| Object | Yoweri Kaguta Museveni |
E268803
|
NE 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: Yoweri Kaguta Museveni | Statement: [Ntungamo District, countryPresidentBornHere, Yoweri Kaguta Museveni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryPresidentBornHere Context triple: [Ntungamo District, countryPresidentBornHere, Yoweri Kaguta Museveni]
-
A.
hasMotherOfUSPresidentBornHere
Indicates that the subject location is the birthplace of a woman who is the mother of a person who became President of the United States.
-
B.
hasHighestOfficeHolderBornHere
chosen
Indicates that the highest-ranking office holder of a given political or administrative unit was born in the referenced place.
-
C.
countryLedDuringPresidency
Indicates that a person held the office of president of a specified country and served as its leader during their presidential term.
-
D.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
E.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
- F. None of above.
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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a034ca1a8d88190bd44f33814436e59 |
completed | May 12, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c19539481908f8a1a54ebab8e60 |
completed | June 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_6a034b591f2481908e05562841c9a3c2 |
completed | May 12, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:15 p.m.