Triple
T29380118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugandan high commissions |
E745111
|
entity |
| Predicate | serveCitizensOf |
P65294
|
FINISHED |
| Object | Uganda |
—
|
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: Uganda | Statement: [Ugandan high commissions, serveCitizensOf, Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serveCitizensOf Context triple: [Ugandan high commissions, serveCitizensOf, Uganda]
-
A.
servesCitizensOf
chosen
Indicates that an entity provides services, support, or functions on behalf of the citizens of a specified place or jurisdiction.
-
B.
denotesCitizensOf
Indicates that a subject entity specifies or lists the people or groups who hold citizenship of a particular place or political entity.
-
C.
protectsCitizenship
Indicates that one entity takes actions or enforces measures to safeguard another entity’s citizenship status or related rights.
-
D.
representsToCitizens
Indicates that an entity serves as an official or political representative acting on behalf of a group of citizens.
-
E.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: April 28, 2026, 2:34 p.m.