Triple
T7471144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajj al-Qiran |
E176506
|
entity |
| Predicate | ihramDuration |
P76436
|
FINISHED |
| Object | from start of Umrah rites until end of Hajj rites |
—
|
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: from start of Umrah rites until end of Hajj rites | Statement: [Hajj al-Qiran, ihramDuration, from start of Umrah rites until end of Hajj rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ihramDuration Context triple: [Hajj al-Qiran, ihramDuration, from start of Umrah rites until end of Hajj rites]
-
A.
numberOfTraversalsInHajjSa'i
Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
-
B.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
C.
missionDurationType
Indicates the classification of a mission’s length or time span (e.g., short-term, long-term, extended).
-
D.
sequenceInHajj
Indicates that one event, ritual, or action occurs at a specific position or order within the overall sequence of activities in the Hajj.
-
E.
fastingDuration
Indicates the length of time that an entity abstains from eating (and possibly drinking), typically as part of a fasting practice.
- 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.