Triple
T7532397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajj al-Ifrad |
E178056
|
entity |
| Predicate | umrahStatus |
P77666
|
FINISHED |
| Object | Umrah is not combined in the same journey |
—
|
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: Umrah is not combined in the same journey | Statement: [Hajj al-Ifrad, umrahStatus, Umrah is not combined in the same journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: umrahStatus Context triple: [Hajj al-Ifrad, umrahStatus, Umrah is not combined in the same journey]
-
A.
umrahIncluded
Indicates that the arrangement, package, or service includes the performance of Umrah as part of what is provided.
-
B.
ihramState
Indicates that an entity is currently in the consecrated state of ihram required for performing certain Islamic pilgrimage rites.
-
C.
ihramChange
Indicates a change in a person’s state of ihram, such as entering into, modifying, or exiting the ritual consecration status.
-
D.
positionOnKaaba
Indicates that one entity occupies a specific location or placement on the surface or structure of the Kaaba.
-
E.
pilgrimStatus
Indicates the status or condition of an individual in relation to their role or journey as a pilgrim.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.