Triple
T25968063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مضائق البحر الأحمر |
E645728
|
entity |
| Predicate | تشكل |
P159616
|
FINISHED |
| Object | ممرًا حيويًا بين أوروبا وآسيا وأفريقيا |
—
|
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: ممرًا حيويًا بين أوروبا وآسيا وأفريقيا | Statement: [مضائق البحر الأحمر, تشكل, ممرًا حيويًا بين أوروبا وآسيا وأفريقيا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تشكل Context triple: [مضائق البحر الأحمر, تشكل, ممرًا حيويًا بين أوروبا وآسيا وأفريقيا]
-
A.
onFormation
Indicates that one entity is located on or attached to the surface of a formation (such as a geological or structural feature).
-
B.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
C.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
D.
partOfFormationOf
Indicates that one entity participates as a component or contributing element in the creation, development, or establishment of another entity.
-
E.
takesFormOf
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
- F. None of above. chosen
Provenance (4 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_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:50 a.m.