Triple
T24686559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giyani |
E611309
|
entity |
| Predicate | dominantLocalLanguage |
P157178
|
FINISHED |
| Object | Xitsonga |
—
|
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: Xitsonga | Statement: [Giyani, dominantLocalLanguage, Xitsonga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantLocalLanguage Context triple: [Giyani, dominantLocalLanguage, Xitsonga]
-
A.
dominantMediaLanguage
Indicates that one language is the primary or most prevalent medium of communication used in a given media context or outlet.
-
B.
primaryLocalLanguageFamily
Indicates the main linguistic family to which the predominant local language of an entity belongs.
-
C.
educationLanguageDominant
Indicates that one language is the primary or most influential language used in a person’s education.
-
D.
languageFamilyDominant
Indicates that one language family holds a primary or prevailing status over others within a given context (such as a region, population, or system).
-
E.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
- F. None of above. chosen
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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 3:18 a.m.