Triple
T30647701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | حقل الشيبة |
E780168
|
entity |
| Predicate | البيئة المحيطة |
P126284
|
FINISHED |
| Object | صحراء رملية قاحلة |
—
|
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: صحراء رملية قاحلة | Statement: [حقل الشيبة, البيئة المحيطة, صحراء رملية قاحلة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: البيئة المحيطة Context triple: [حقل الشيبة, البيئة المحيطة, صحراء رملية قاحلة]
-
A.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
B.
environmentAnalogOf
chosen
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
C.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
D.
secondaryEnvironment
Indicates that an entity is associated with an additional or supporting environment distinct from its primary one.
-
E.
محیط زیست
Indicates a relationship involving the natural environment, such as the impact of actions on ecological systems, resources, and living 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a9537fc819083849c707a8add46 |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:29 p.m.