Triple
T7615809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajar |
E172357
|
entity |
| Predicate | influencedRitual |
P57110
|
FINISHED |
| Object | Sa'i between Safa and Marwa in Hajj |
—
|
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: Sa'i between Safa and Marwa in Hajj | Statement: [Hajar, influencedRitual, Sa'i between Safa and Marwa in Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedRitual Context triple: [Hajar, influencedRitual, Sa'i between Safa and Marwa in Hajj]
-
A.
relatedRitual
chosen
Indicates that one entity is associated with, connected to, or involved in the performance or context of a particular ritual.
-
B.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
-
C.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
-
D.
ritualSpecialist
Indicates that one entity serves as a designated expert or practitioner responsible for performing or overseeing rituals in relation to another entity or context.
-
E.
mentionsRitual
Indicates that one entity refers to, discusses, or otherwise makes mention of a ritual associated with another entity.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4569c88190b2968403a24e7882 |
completed | March 27, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.