Triple
T25456698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مكة المكرمة |
E637931
|
entity |
| Predicate | ترتبط بقطار |
P76977
|
FINISHED |
| Object | قطار الحرمين السريع |
—
|
NE NERFINISHED |
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: قطار الحرمين السريع | Statement: [مكة المكرمة, ترتبط بقطار, قطار الحرمين السريع]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ترتبط بقطار Context triple: [مكة المكرمة, ترتبط بقطار, قطار الحرمين السريع]
-
A.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
B.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
C.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
D.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
-
E.
relatedRailroad
chosen
Indicates that there is an association or connection between an entity and a specific railroad, such as ownership, operation, service, or historical linkage.
- 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_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:10 p.m.