Triple
T9107271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المنطقة الشرقية |
E218507
|
entity |
| Predicate | areaRankingInSaudiArabia |
P1170
|
FINISHED |
| Object | الأولى |
—
|
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: الأولى | Statement: [المنطقة الشرقية, areaRankingInSaudiArabia, الأولى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankingInSaudiArabia Context triple: [المنطقة الشرقية, areaRankingInSaudiArabia, الأولى]
-
A.
regionRankBySize
Indicates the relative ordering of regions based on their physical size, from largest to smallest (or vice versa).
-
B.
emirateRankByAreaInUAE
Indicates the relative position of an emirate in the United Arab Emirates when all emirates are ordered by their land area.
-
C.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
D.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
-
E.
establishedThirdSaudiState
Indicates that an entity founded or brought into existence the Third Saudi State (the modern Kingdom of Saudi Arabia).
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca573da0081909f4afcdb3ac99c53 |
completed | April 1, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.