Triple
T14096157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باب الأسباط |
E339257
|
entity |
| Predicate | يحتوي على |
P1393
|
FINISHED |
| Object | قنطرة حجرية مقوسة |
—
|
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: قنطرة حجرية مقوسة | Statement: [باب الأسباط, يحتوي على, قنطرة حجرية مقوسة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يحتوي على Context triple: [باب الأسباط, يحتوي على, قنطرة حجرية مقوسة]
-
A.
containedWith
Indicates that one entity is located or kept inside the bounds or interior space of another entity.
-
B.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
C.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
D.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
E.
يتناول
Indicates that an entity is consuming or taking something, such as food, drink, or medicine.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.