Triple
T25456701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مكة المكرمة |
E637931
|
entity |
| Predicate | ترتبط بطريق |
P11435
|
FINISHED |
| Object | طريق مكة الطائف |
—
|
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 مكة الطائف | Statement: [مكة المكرمة, ترتبط بطريق, طريق مكة الطائف]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتبط بطريق Context triple: [مكة المكرمة, ترتبط بطريق, طريق مكة الطائف]
-
A.
ترتبط بسيرة
Indicates a relationship in which something is connected or related to a biography or life story.
-
B.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
C.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
D.
linkedByRoadTo
chosen
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
E.
isRelatedRouteOf
Indicates that one route is connected to, associated with, or serves as an alternative or complementary path to another route.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72756748190aa315cc00882a798 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 2:10 p.m.