Triple
T30496435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadariba |
E776018
|
entity |
| Predicate | ethnoRegionalContext |
P1968
|
FINISHED |
| Object | Horn of Africa |
—
|
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: Horn of Africa | Statement: [Hadariba, ethnoRegionalContext, Horn of Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoRegionalContext Context triple: [Hadariba, ethnoRegionalContext, Horn of Africa]
-
A.
ethnicRegionalBase
Indicates that an entity’s support, identity, or operations are primarily rooted in a specific ethnic group within a particular geographic region.
-
B.
culturalRegion
chosen
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
C.
ethnicRegionOfFocus
Indicates that a particular ethnic group or ethnicity is the primary regional focus or subject of attention in a given context.
-
D.
hasEthnolinguisticContext
Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
-
E.
depictsEthnicContext
Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6877beac8819088e18617985213a8 |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:14 p.m.