Triple
T6597112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marwa |
E148503
|
entity |
| Predicate | minimumTraversalsRequiredInSa'i |
P26553
|
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: [Marwa, minimumTraversalsRequiredInSa'i, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumTraversalsRequiredInSa'i Context triple: [Marwa, minimumTraversalsRequiredInSa'i, 7]
-
A.
minimumSa'iTraversalsFrom
chosen
Indicates the minimum number of Sa'i traversals required starting from a given point or entity.
-
B.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
C.
numberOfSa'iCircuitsStart
Indicates the number of Sa'i circuits that have been completed at the starting point of the Sa'i ritual.
-
D.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
E.
minimumDepth
Indicates the smallest or shallowest depth value associated with an entity or between entities in a given context.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.