Triple
T36662122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracha |
E905156
|
entity |
| Predicate | alternativeNameInLugbara |
P63334
|
FINISHED |
| Object | Maracha |
—
|
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: Maracha | Statement: [Maracha, alternativeNameInLugbara, Maracha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeNameInLugbara Context triple: [Maracha, alternativeNameInLugbara, Maracha]
-
A.
nameInKirundi
Indicates that an entity has a specific name expressed in the Kirundi language.
-
B.
alternativeNameMeaning
Indicates that one entity expresses the meaning or interpretation of an alternative name used for another entity.
-
C.
SwahiliName
Indicates that one entity is the Swahili-language name or designation for the other entity.
-
D.
alternateLanguageName
chosen
Indicates that an entity has an additional name or label in a different language from its primary or default name.
-
E.
colloquialNameOf
Indicates that one entity is an informal, colloquial, or commonly used name referring to another 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c77d44008190952c408a857147f3 |
completed | May 3, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.