Triple
T16214021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abnub |
E393537
|
entity |
| Predicate | climateCountryContext |
P32804
|
FINISHED |
| Object | arid to semi-arid (Egypt) |
—
|
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: arid to semi-arid (Egypt) | Statement: [Abnub, climateCountryContext, arid to semi-arid (Egypt)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateCountryContext Context triple: [Abnub, climateCountryContext, arid to semi-arid (Egypt)]
-
A.
hasClimateContext
chosen
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
B.
climateBetween
Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
-
C.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
-
D.
countryExample
Indicates that one country serves as a representative or illustrative example of another country in a given context.
-
E.
climateAlongBorder
Indicates that two regions share similar or related climatic conditions specifically along their common border.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f393e08190be93400d754f0a2d |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.