Triple
T10490442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunama languages |
E247402
|
entity |
| Predicate | populationCluster |
P64833
|
FINISHED |
| Object | western lowlands of Eritrea |
—
|
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: western lowlands of Eritrea | Statement: [Kunama languages, populationCluster, western lowlands of Eritrea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCluster Context triple: [Kunama languages, populationCluster, western lowlands of Eritrea]
-
A.
arealCluster
chosen
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
B.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
-
C.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
D.
countryCluster
Indicates that multiple countries are grouped together based on shared characteristics, relationships, or classification criteria.
-
E.
populationPattern
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097d61e08190952d4354ef1bce52 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:23 p.m.