Triple
T5630534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | circumambulation of the Kaaba |
E147818
|
entity |
| Predicate | numberOfCircuits |
P64677
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [circumambulation of the Kaaba, numberOfCircuits, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCircuits Context triple: [circumambulation of the Kaaba, numberOfCircuits, 7]
-
A.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
B.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
C.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
D.
numberOfSa'iCircuitsStart
Indicates the number of Sa'i circuits that have been completed at the starting point of the Sa'i ritual.
-
E.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0223c722481908bc3684825b3977a |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:40 p.m.