Triple
T14096142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باب الأسباط |
E339257
|
entity |
| Predicate | يطل على |
P17987
|
FINISHED |
| Object | طريق تؤدي إلى المسجد الأقصى |
—
|
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: طريق تؤدي إلى المسجد الأقصى | Statement: [باب الأسباط, يطل على, طريق تؤدي إلى المسجد الأقصى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يطل على Context triple: [باب الأسباط, يطل على, طريق تؤدي إلى المسجد الأقصى]
-
A.
sees
Indicates that one entity visually perceives or observes another entity.
-
B.
viewOver
chosen
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
E.
hasScenicViewOf
Indicates that one entity offers a visually appealing or picturesque view of another entity.
- 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.