Triple
T13362754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenyan national anthem |
E318859
|
entity |
| Predicate | openingLineSwahili |
P829
|
FINISHED |
| Object | Ee Mungu nguvu yetu |
—
|
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: Ee Mungu nguvu yetu | Statement: [Kenyan national anthem, openingLineSwahili, Ee Mungu nguvu yetu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingLineSwahili Context triple: [Kenyan national anthem, openingLineSwahili, Ee Mungu nguvu yetu]
-
A.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
firstLineAfrikaans
Indicates that the specified text is the first line of a piece of content when written in Afrikaans.
-
C.
openingGreetingFrom
Indicates that one entity initiates an interaction by sending or expressing an initial greeting to another entity.
-
D.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
E.
openingLineStatus
Indicates the status or condition of an entity’s opening line, such as whether it exists, is valid, or meets a specified criterion.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.