Triple
T30619687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محافظة رأس تنورة |
E779411
|
entity |
| Predicate | تتميز_ب |
P662
|
FINISHED |
| Object | موقع استراتيجي لصادرات النفط السعودية |
—
|
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: موقع استراتيجي لصادرات النفط السعودية | Statement: [محافظة رأس تنورة, تتميز_ب, موقع استراتيجي لصادرات النفط السعودية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتميز_ب Context triple: [محافظة رأس تنورة, تتميز_ب, موقع استراتيجي لصادرات النفط السعودية]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
يميز
Indicates that one entity distinguishes, differentiates, or sets something apart from something else.
-
C.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
D.
distinguishingTrait
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
E.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689ed5b9c81909976d061f71d782a |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:27 p.m.