Triple
T14269692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ra’iisul wasaaraha Jabuuti |
E353745
|
entity |
| Predicate | regionLanguageContext |
P29819
|
FINISHED |
| Object | Somali-speaking Horn of Africa |
—
|
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: Somali-speaking Horn of Africa | Statement: [Ra’iisul wasaaraha Jabuuti, regionLanguageContext, Somali-speaking Horn of Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionLanguageContext Context triple: [Ra’iisul wasaaraha Jabuuti, regionLanguageContext, Somali-speaking Horn of Africa]
-
A.
regionLanguage
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
B.
nativeLanguageContext
Indicates the relationship in which a language functions as the primary or native linguistic context for an entity’s communication or interpretation.
-
C.
locale
Indicates that one entity is the place, setting, or geographic area in which another entity exists, occurs, or is situated.
-
D.
languageArea
chosen
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
E.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.