Triple
T25456765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صاحب رفادة الحاج |
E637933
|
entity |
| Predicate | يخدم |
P101736
|
FINISHED |
| Object | الحجاج القادمون إلى مكة |
—
|
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: الحجاج القادمون إلى مكة | Statement: [صاحب رفادة الحاج, يخدم, الحجاج القادمون إلى مكة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يخدم Context triple: [صاحب رفادة الحاج, يخدم, الحجاج القادمون إلى مكة]
-
A.
served
Indicates that one entity provided a service, assistance, or role-based function to or for another entity.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
providesServiceTowards
chosen
Indicates that one entity delivers or performs a service directed to or for the benefit of another entity.
-
D.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
E.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs 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_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.