Triple
T22660563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مقبرة العود |
E559648
|
entity |
| Predicate | الطابع |
P106044
|
FINISHED |
| Object | مقبرة عامة ذات أهمية رسمية |
—
|
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: مقبرة عامة ذات أهمية رسمية | Statement: [مقبرة العود, الطابع, مقبرة عامة ذات أهمية رسمية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الطابع Context triple: [مقبرة العود, الطابع, مقبرة عامة ذات أهمية رسمية]
-
A.
له طابع
chosen
Indicates that something possesses or exhibits a particular character, style, or distinctive quality.
-
B.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
C.
سبب التسمية
Indicates the reason or cause behind assigning a particular name to something.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
السمعة
Indicates the reputation or public perception associated with an entity based on others’ opinions or past actions.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765edf88819086c28525e3c73758 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.