Triple
T9443840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzdalifa |
E227711
|
entity |
| Predicate | timeInHajj |
P74753
|
FINISHED |
| Object | between Arafat and Mina |
—
|
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: between Arafat and Mina | Statement: [Muzdalifa, timeInHajj, between Arafat and Mina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInHajj Context triple: [Muzdalifa, timeInHajj, between Arafat and Mina]
-
A.
ihramDuration
Indicates the length of time for which a person remains in the state of ihram during a pilgrimage.
-
B.
numberOfTraversalsInHajjSa'i
Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
-
C.
sequenceInHajj
chosen
Indicates that one event, ritual, or action occurs at a specific position or order within the overall sequence of activities in the Hajj.
-
D.
numberOfPilgrimagesToMecca
Indicates the count of times an entity has undertaken a pilgrimage to Mecca.
-
E.
travelTimeMeccaMedina
Indicates the duration or time required to travel between Mecca and Medina.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f3171248190b92ab990371e63f5 |
completed | April 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:51 p.m.