Triple
T7471163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajj al-Qiran |
E176506
|
entity |
| Predicate | ihramChange |
P76439
|
FINISHED |
| Object | no release from ihram between Umrah and Hajj |
—
|
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: no release from ihram between Umrah and Hajj | Statement: [Hajj al-Qiran, ihramChange, no release from ihram between Umrah and Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ihramChange Context triple: [Hajj al-Qiran, ihramChange, no release from ihram between Umrah and Hajj]
-
A.
sequenceInHajj
Indicates that one event, ritual, or action occurs at a specific position or order within the overall sequence of activities in the Hajj.
-
B.
hasImam
Indicates that an entity is associated with, led by, or served by a particular imam in a religious or community context.
-
C.
qiblaChangedFrom
Indicates that the direction of prayer (qibla) was previously oriented toward a specified location before being changed to a new direction.
-
D.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
E.
numberOfTraversalsInHajjSa'i
Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
- F. None of above. chosen
Provenance (4 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.