Triple
T25968061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مضائق البحر الأحمر |
E645728
|
entity |
| Predicate | تؤثر_على |
P158761
|
FINISHED |
| Object | طرق التجارة بين أوروبا وآسيا |
—
|
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: طرق التجارة بين أوروبا وآسيا | Statement: [مضائق البحر الأحمر, تؤثر_على, طرق التجارة بين أوروبا وآسيا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تؤثر_على Context triple: [مضائق البحر الأحمر, تؤثر_على, طرق التجارة بين أوروبا وآسيا]
-
A.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
B.
اثر
chosen
Indicates that one entity has an effect, influence, or impact on another entity.
-
C.
alsoAffects
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
D.
affectsRelationshipBetween
Indicates that one entity causes a change or influence on the nature, quality, or status of the relationship between two or more other entities.
-
E.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 8:50 a.m.